The paper suggests a novel methodology for determining the state of legal doctrine on a particular issue by legal scholars. This methodology is inspired by the philosophical field of phenomenology. In particular, the tool of eidetic reduction developed by Edmund Husserl is applied to reach inter-subjectively valid assessments of doctrine. The methodology developed here argues that scholars who wish to discover legal doctrine on a particular issue need to first define general paradigms that explain the relevant legal field. Then, they (...) should develop a hypothesis about the law on the particular issue that concurs with the essential qualities of all these paradigms. Finally, to determine if a hypothesis about the content of the law should be accepted or rejected, it must be checked against legal sources that often include judgments. Reasoning by analogy should be used to learn from judgments with the same policy implications as the doctrine suggested by the hypothesis. The paper offers several heuristics—demonstrated with examples from international law—that can be used to find judgments that have the same policy implications without determining conclusively what these implications are. (shrink)

In this paper, we offer a descriptive theory of analogical reasoning in mathematics, stating general conditions under which an analogy may provide genuine inductive support to a mathematical conjecture (over and above fulfilling the merely heuristic role of ‘suggesting’ a conjecture in the psychological sense). The proposed conditions generalize the criteria of Hesse in her influential work on analogical reasoning in the empirical sciences. By reference to several case studies, we argue that the account proposed in this (...) paper does a better job in vindicating the use of analogical inference in mathematics than the prominent alternative defended by Bartha. (shrink)

Reasoning that compares two objects or situations to draw conclusions about previously unknown properties of one of them has traditionally been taken to be ampliative and probabilistic. I propose that it is apodeictic reasoning from a premise about isomorphic structures that is often uncertain, but which we may have good reasons to believe. I characterize the structures and their isomorphism, describe patterns of reasoning appropriate to them, and discuss some complications not immediately obvious.

In their 2018 paper, Carolina Adler, Gertrude Hirsch Hadorn, Thomas Breu, Urs Wiesmann, and Christian Pohl propose that transferability of knowledge across cases in transdisciplinary research should be thought of in terms of arguments by analogy. We aim to advance this discussion about transferability by examining it in the light of recent ideas about knowledge transfer, extrapolation, and external validity in the philosophy of science. We problematise Adler et al.’s proposal by identifying the ‘transdisciplinarian’s circle’, due to which even (...) knowledge that could be of use in other projects may be identified too late for efficient knowledge transfer to take place. We then suggest that Steel’s ideas on overcoming the ‘extrapolator’s circle’ can serve as a source of inspiration for addressing the issue of the transdisciplinarian’s circle. (shrink)

We analyze the logical form of the domain knowledge that grounds analogical inferences and generalizations from a single instance. The form of the assumptions which justify analogies is given schematically as the "determination rule", so called because it expresses the relation of one set of variables determining the values of another set. The determination relation is a logical generalization of the different types of dependency relations defined in database theory. Specifically, we define determination as a relation between schemata of first (...) order logic that have two kinds of free variables: (1) object variables and (2) what we call "polar" variables, which hold the place of truth values. Determination rules facilitate sound rule inference and valid conclusions projected by analogy from single instances, without implying what the conclusion should be prior to an inspection of the instance. They also provide a way to specify what information is sufficiently relevant to decide a question, prior to knowledge of the answer to the question. (shrink)

This article proposes a conceptual mapping to outline salient properties and relations that allow for a knowledge transfer from the well-established greenwashing phenomenon to the more recent machinewashing. We account for relevant dissimilarities, indicating where conceptual boundaries may be drawn. Guided by a “reasoning by analogy” approach, the article addresses the structural analogy and machinewashing idiosyncrasies leading to a novel and theoretically informed model of machinewashing. Consequently, machinewashing is defined as a strategy that organizations adopt to engage (...) in misleading behavior about ethical Artificial Intelligence /algorithmic systems. Machinewashing involves misleading information about ethical AI communicated or omitted via words, visuals, or the underlying algorithm of AI itself. Furthermore, and going beyond greenwashing, machinewashing may be used for symbolic actions such as lobbying and prevention of stricter regulation. By outlining diverse theoretical foundations of the established greenwashing domain and their relation to specific research questions, the article proposes a machinewashing model and a set of theory-related research questions on the macro, meso, and micro-level for future machinewashing research. We conclude by stressing limitations and by outlining practical implications for organizations and policymakers. (shrink)

John Woods and Brent Hudak’s theory on arguments by analogy (1989), although correct in its meta-argumentative approach, gives rise to problems when we consider the possibility of weighing reasons. I contend that this is an outcome of construing the relationship between the premises and the conclusion of arguments compared in argumentation by analogy as inferences. An interpretation in terms of reasons is proposed here. The reasons-based approach solves these problems and allows the theory to be extended to account (...) for a particular variant of argumentation by analogy in which the subjects of comparison are not arguments, but weighings of reasons. (shrink)

This paper examines the hypothesis that analogies may play a role in the generation of new ideas that are built into new explanatory theories. Methods of theory construction by analogy, by failed analogy, and by modular components from several analogies are discussed. Two different analyses of analogy are contrasted: direct mapping (Mary Hesse) and shared abstraction (Michael Genesereth). The structure of Charles Darwin's theory of natural selection shows various analogical relations. Finally, an "abstraction for selection theories" is (...) shown to be the structure of a number of theories. (shrink)

This paper defines the form of prior knowledge that is required for sound inferences by analogy and single-instance generalizations, in both logical and probabilistic reasoning. In the logical case, the first order determination rule defined in Davies (1985) is shown to solve both the justification and non-redundancy problems for analogical inference. The statistical analogue of determination that is put forward is termed 'uniformity'. Based on the semantics of determination and uniformity, a third notion of "relevance" is defined, both (...) logically and probabilistically. The statistical relevance of one function in determining another is put forward as a way of defining the value of information: The statistical relevance of a function F to a function G is the absolute value of the change in one's information about the value of G afforded by specifying the value of F. This theory provides normative justifications for conclusions projected by analogy from one case to another, and for generalization from an instance to a rule. The soundness of such conclusions, in either the logical or the probabilistic case, can be identified with the extent to which the corresponding criteria (determination and uniformity) actually hold for the features being related. (shrink)

This paper investigates the process of reasoning through which a judge determines whether a precedent-case gives her a binding reason to follow in her present-case. I review the objections that have been raised against the two main accounts of reasoning by precedent: the rule-account and the analogy-account. I argue that both accounts can be made viable by amending them to meet the objections. Nonetheless, I believe that there is an argument for preferring accounts that integrate analogical (...) class='Hi'>reasoning: any account of reasoning by precedent that is descriptively minimally adequate will leave some room for judicial discretion. Discretion should be used under consideration of the best legally relevant arguments for and against a decision. Integrating analogical reasoning helps the judge to bring to her own attention the strongest case for following. Analogical reasoning also eases the recognition of possible reasons for distinguishing. Thereby, it facilitates a more balanced decision-making process. (shrink)

This paper presents a new algorithm to find an appropriate similarityunder which we apply legal rules analogically. Since there may exist a lotof similarities between the premises of rule and a case in inquiry, we haveto select an appropriate similarity that is relevant to both thelegal rule and a top goal of our legal reasoning. For this purpose, a newcriterion to distinguish the appropriate similarities from the others isproposed and tested. The criterion is based on Goal-DependentAbstraction (GDA) to select (...) a similarity such that an abstraction basedon the similarity never loses the necessary information to prove the ground (purpose of legislation) of the legal rule. In order to cope withour huge space of similarities, our GDA algorithm uses some constraintsto prune useless similarities. (shrink)

If you were Monica Lewinski's mother, how would you describe Linda Tripp? Remember that Linda Tripp is the woman who tapped her own phone conversations with Monica and then used them to incriminate President Clinton. Marcia Lewis, Monica's actual mother, chose the following expression: "She is like a meddlesome witch, a praying mantis." This expression conveys a multiple analogy, a comparison in which several sources are likened to a target. In this case, the first source tells us that Marcia (...) thinks of Linda as a disagreeable woman who entices youngsters into her confidence in order to ensnare them for her own purposes, much like the witch who trapped Hansel and Gretel. The second source tells us that Marcia thinks of Linda as a creature that ambushes others out of an inhuman lust for prey. ;This example shows the usefulness of multiple analogies in satisfying certain cognitive goals, such as constructing an adequate explanation of Linda Tripp and her behavior. Multiple analogies have also proven to be very useful in satisfying other kinds of cognitive goals, such as those of philosophers and scientists. However, no cognitive model of multiple analogies has yet been proposed or explored. This dissertation presents an exploration of multiple analogies as found in the literature of evolutionary biology, archaeology, and philosophy with the aim of proposing a cognitive model of this interesting mode of reasoning. This model is based upon the Multiconstraint theory of analogies, which is extended for the purpose, and also contrasted with previous theories of analogy. (shrink)

Despite the similarities between Keane's approach (Keane, 1987) and ours (Ripoll, 1998), there are critical theoretical and empirical differences which are discussed.

Analogical reasoning projects a property taken to hold of something or things (the source) to something else (the target) on the basis of just those similarities premised in the analogy. Standard similarity-based accounts of analogical reasoning face the question: Under what conditions does a collection of similarities sufficiently warrant analogical projection? One answer is: When a thing’s having the premised similarities somehow determines its having the projected property. Standardly, this answer has been interpreted as claiming that a (...) formally defined determination relation exists between the variables of which the determining properties are values and the variable of which the determined property is a value. This paper supplies another answer: Analogical projection is warranted when an item’s having the projected property is grounded in its having the premised similarities. Drawing on the metaphysics of grounding, we propose a model of grounded analogy on which analogical reasoning is valid under metaphysical necessity. Our model thus provides one answer to John Stuart Mill’s question of how analogical reasoning based on limited information about a single source case can provide an indefeasible justification for analogical projection. Once a relation of total grounding is ascertained to hold between some similarities and the projected property, no other properties bear on the projectability of the projected property from the source to the target. (shrink)

Nowadays, there is a quite considerable amount of literature on the use of analogy or more generally of inferences by parallel reasoning in contemporary legal reasoning, and particularly so within Common Law. These studies are often motivated by researches in artificial intelligence seeking to develop suitable software-support for legal reasoning. Recently; Rahman/Iqbal/Soufi (2020) developed a dialogical approach in the framework of Constructive Type Theory to what in Islamic Jurisprudence was called qiyās or correlational inferences. In their (...) last chapter the authors suggested that such an approach contributes to the study of patterns of reasoning by precedent cases within contemporary common Law. In the present paper we will further motivate the deployment within Civil and Common Law of the dialogical framework developed in Rahman/Iqbal/Soufi (2020). After a presentation of Scott Brewer's take on analogy within Common Law, that has striking structural similarities to reasoning by precedent case rooted in ratio legis (known in Islamic Jurisprudence as qiyās al-'illa or correlational inference by the occasioning factor), we will illustrate the implementation of the framework with a brief discussion of some cases of legal reasoning based in Spanish Civil Law but where the accent is put in the emerging ruling rather than in the existing of a case as in Common Law. Moreover; quite surprisingly, the case under study suggests that even cases of Law-interpretation fit the argumentation pattern of qiyās al-'illa. A caveat: in the present paper we will focus mainly in discussing the dynamics of the meaning constitution involved rather than in setting the rules of the underlying dialogical framework, the latter is the subject of a follow-up paper. (shrink)

We present an analysis, and first full English translation, of a paper by Kant entitled ‘Über die Vulcane im Monde’ . Kant became interested in the question of whether the mountains of the Moon were extinct volcanoes. Stimulated by the work of Herschel, Aepinus, and others, he considered the appearance of the Moon's surface and the possibility of lunar vulcanism. From this, he was led to consider the structures of mountain ranges on the Earth, which he decided were non-volcanic in (...) origin, being produced by eruptions of vapours from the interior of the Earth soon after it formed from an original ‘chaos’. Kant developed his ideas in such a way as to yield a characteristic eighteenth-century ‘theory of the Earth’. We argue that the empirical base of his theory was provided by knowledge of the mountain ranges of Bohemia and Moravia. Analogies based on observations of the Moon further assisted in the construction of the theory. But the reasoning ran in two directions: what was seen on the Moon was construed in terms of what Kant knew of the Earth's topography; and the Earth's topography was presumed to be analogous to that of the Moon, for both the Earth and the Moon supposedly had essentially similar origins. Kant's ideas of 1785 are related to his earlier writings of 1754, 1755, and 1756, and also to the lectures on physical geography that he presented at Königsberg. (shrink)

ABSTRACT: In this essay I characterize arguments by analogy, which have an impor- tant role both in philosophical and everyday reasoning. Arguments by analogy are dif- ferent from ordinary inductive or deductive arguments and have their own distinct features. I try to characterize the structure and function of these arguments. It is further discussed that some arguments, which are not explicit arguments by analogy, nevertheless should be interpreted as such and not as inductive or deductive arguments. (...) The result is that a presumed outcome of a philosophical dispute will have to be reconsidered. (shrink)

In this paper, I argue that Darwin's On the Origin of Species can be interpreted as the culmination of an extended exercise of what Kant called ‘the reflecting power of judgement’ that issued in a form of reasoning that Hegel associates with inference by analogy and that Peirce associates with hypothesis and later assimilates to abduction. After some exegetical and rationally reconstructive work, I support this reading by showing that Darwin's theory of natural selection gave us a way (...) of understanding the purposive character of organic generation and growth that does not rely on an analogy with intentional agency and outlining some of the uses to which this new understanding was put in reasoning about mind and society by American intellectuals in the second half of the nineteenth century. In the process I hope to shed some light on the relationship between mechanistic and purposive explanation in judgements of nature. (shrink)

This paper proposes a framework for representing in Bayesian terms the idea that analogical arguments of various degrees of strength may provide inductive support to yet untested scientific hypotheses. On this account, contextual information plays a crucial role in determining whether, and to what extent, a given similarity or dissimilarity between source and target may confirm an empirical hypothesis over a rival one. In addition to showing confirmation by analogy compatible with the adoption of a Bayesian standpoint, the proposal (...) outlined in this paper reveals a close agreement between the fulfillment of Hesse’s (Models and analogies in science, University of Notre Dame Press, 1963) criteria for analogical arguments capable of inductive support and the attribution of confirmatory power by the lights of Bayesian confirmation theory. In this sense, the Bayesian representation not only enriches a framework, Hesse’s, of enduring relevance for understanding scientific activity, but may offer something akin to a proof of concept of it. (shrink)

In the debate over fetal tissue use, an analogy is often drawn between removing organs from the body of a person who has been murdered to use for transplantation, and collecting tissue from an aborted fetus to use for the same purpose. The murder victim analogy is taken by its proponents to show that even if abortion is the moral equivalent of murder, there is still no good reason to refrain from using the fetal tissue, since as a (...) society we do not see any problem about using organs from murder victims. However, I argue that the analogy between murder victims and aborted fetuses does not hold -- the two situations are not the same in all morally relevant respects. Thus the murder victim analogy does not provide an argument in favour of fetal tissue transplant. In conclusion, I point to some of the potential pitfalls of using analogies in ethical argument. (shrink)

Proponents of strict rule-based theories of judicial reasoning in common-law systems have offered a number of criticisms of analogical alternatives. I explain these criticisms and show that at best they apply equally well to rule-based theories. Further, I show how the analogical theories explain a feature of judicial common-law reasoningthat rule-based theories ignore. Finally, I show that reason-based, analogical theories of common-law judicial reasoning, such as those offered by John Horty and Grant Lamond, offer especially strong rejoinders to (...) the rule-theorist objections and persuasive accounts of distinguishing. (shrink)

In this work, Paul Bartha proposes a normative theory of analogical arguments and raises questions and proposes answers regarding the criteria for evaluating analogical arguments, the philosophical justification for analogical reasoning, and the place of scientific analogies in the context of theoretical confirmation.

Extensive interpretation of legal provisions is in tension with the prohibition of reasoning by analogy in criminal law, for it is unclear what the difference is between the two. Some scholars claim that they differ from a theoretical point of view, since they do not have the same argumentative structure. On the other hand, the two come to the same result starting from the same legal materials: they justify the extension of a regulation to a case that is (...) not explicitly considered by the law. The paper deals with this issue discussing a recent Italian case and proposes an account of the distinction between the two based upon the principle of semantic tolerance and its inferential structure in legal argumentation. (shrink)

Since Darwin, the idea of psychological continuity between humans and other animals has dominated theory and research in investigating the minds of other species. Indeed, the field of comparative psychology was founded on two assumptions. First, it was assumed that introspection could provide humans with reliable knowledge about the causal connection between specific mental states and specific behaviors. Second, it was assumed that in those cases in which other species exhibited behaviors similar to our own, similar psychological causes were at (...) work. In this paper, we show how this argument by analogy is flawed with respect to the case of second‐order mental states. As a test case, we focus on the question of how other species conceive of visual attention, and in particular whether chimpanzees interpret seeing as a mentalistic event involving internal states of perception, attention, and belief. We conclude that chimpanzees do not reason about seeing in this manner, and indeed, there is considerable reason to suppose that they do not harbor representations of mental states in general. We propose a reinterpretation model in which the majority of the rich social behaviors that humans and other primates share in common emerged long before the human lineage evolved the psychological means of interpreting those behaviors in mentalistic terms. Although humans, chimpanzees, and most other species may be said to possess mental states, humans alone may have evolved a cognitive specialization for reasoning about such states. (shrink)

Analogy has received attention as a form of inductive reasoning in the empirical sciences. Its role in mathematics has, instead, received less consideration. This paper provides a novel account of how an analogy with a more familiar mathematical domain can contribute to the confirmation of a mathematical conjecture. By reference to case-studies, we propose a distinction between an _incremental_ and a _non-incremental_ form of confirmation by mathematical analogy. We offer an account of the former within the (...) popular framework of Bayesian confirmation theory. As for the non-incremental notion, we defend its role in rationally informing the prior credences of mathematicians in those circumstances in which no new mathematical evidence is introduced. The resulting framework captures many important aspects of the use of analogical inference in the domain of pure mathematics. (shrink)

Throughout his life J. J. Thomson was committed to a mechanical interpretation of nature. This work proceeded in several stages. Early in his career he attempted a Lagrangian formulation of mechanics. But due to certain epistemological difficulties with this approach, he began exploring various analogies and models, particularly those involving vortex motion. After his discovery of the electron in 1897, he commenced a synthesis of the electron with his previous physical conceptions. The result was a hypothesis of the ether as (...) being composed of particles even smaller than electrons. (shrink)

In this paper I offered a friendly amendment to Paul Churchland’s a well-known criticism of Frank Jackson’s knowledge argument. According to Jackson’s argument, a hypothetical Mary, living in her darkened stimulus-impoverished environment, knows all information from physical science about the perception of color but still does not know everything, e.g., what it is like to experience the color red. Churchland offered a refutation by analogy whereby Mary is an ectoplasmologist who knows all the supposed nonphysical things that friends of (...) the hard problem of qualia believe about that phenomenon. So Mary knows everything ectoplasmic about the perception of color but still does not know everything – what it is like to experience the color red. I made a necessary adjustment whereby Mary is not just an ectoplasmologist but a dualist who knows everything physical and ectoplasmic about the perception of color. By the same reasoning, then, the Jackson-style argument would refute dualism too. I also offered a diagnosis of the problem much in the spirit of other criticisms, namely, that things like experiencing red or riding a bicycle can be fully physical even though Mary would not “know how” to experience red or ride a bicycle simply by possessing all the “know that”/propositional/book-learning about those things. (shrink)

Reasoning patterns found in Galileo’s treatise on machines, On Mechanics, are compared with patterns identified in case studies of scientifically trained experts thinking aloud, and many similarities are found. At one level the primary patterns identified are ordered analogy sequences and special diagrammatic techniques to support them. At a deeper level I develop constructs to describe patterns that can support embodied, imagistic, mental simulations as a central underlying process. Additionally, a larger hypothesized pattern of ‘progressive imagistic generalization’—Galileo’s development (...) of a model or mechanism that becomes more and more general with each machine while still being imagistically projectable into many machines—provides a way to think about his progress toward a modern explanatory model of torque. By unpacking his arguments, we gain an appreciation of his skillful ability to foster imagistic processes underlying scientific thinking. (shrink)

Western philosophy and science are responsible for constructing some powerful tools of investigation, aiming at discovering the truth, delivering robust explanations, verifying conjectures, showing that inferences are sound and demonstrating results conclusively. By contrast reasoning that depends on analogies has often been viewed with suspicion. Professor Lloyd first explores the origins of those Western ideals, criticises some of their excesses and redresses the balance in favour of looser, admittedly non-demonstrative analogical reasoning. For this he takes examples both from (...) ancient Greek and Chinese thought and from the materials of recent ethnography to show how different ancient and modern cultures have developed different styles of reasoning. He also develops two original but controversial ideas, that of semantic stretch and the multidimensionality of reality. (shrink)

In two experiments on analogical hypothesis generation, we factorially manipulated the presence of domain and object similarities between a base situation and a target phenomenon, and assessed their effects on the transfer of the source’s explanatory structure before and after an indication to use the base analog as a source for analogical explanations. The absence of any kind of surface similarity led to very low rates of spontaneous transfer. In both experiments, however, either kind of surface similarity sufficed to enhance (...) the spontaneous transfer of the base explanation during the formulation of plausible hypotheses for the target. The transfer advantage of object and domain similarity cannot be attributed to the effect of these variables on post-access processes, since experimental conditions did not differ with regard to the ability to transfer the base explanation upon explicit request. The effect of domain similarity on spontaneous analogical explanation constitutes a relevant finding, especially given the lack of attention received by this dimension of similarity in behavioural studies and computer simulations of analogical retrieval. (shrink)

This paper defends a constructive interpretation of the Critique of Pure Reason, which is built in analogy with an experimental construction that Kant believes to characteristic of chemistry. I also argue for a way to reconcile the methodological perspective of the constructivist method with that of transcendental reflection. I therefore provide a constructive explanation for what Kant describes as being pure reason and the argument of the transcendental deduction. I propose to frame the different perspectives in such a way (...) that the experimental construction is the ratio cognoscendi of pure reason, while pure reason is the ratio essendi of the experimental construction. O’Neill (1989, 2015) is one of the most important scholars that have argued for a constructivist reading of the Critique of pure reason (CPR). In this paper I develop and explore new aspects of this line of interpretation. One of the main criticisms raised against constructivist readings of Kant’s philosophy is an alleged commitment to subjectivism or voluntarism (cf. Kleingeld & Willaschek 2019). This concern led some scholars to rename their position as constitutivist instead (Korsgaard 2009; Sensen 2013, 2017; Formosa 2011). Constitutivism, is intended to be a sort of constructivism capable of avoiding voluntarism. However, it becomes difficult, sometimes, to differentiate between the constitutivist and foundationalist positions, which are based on transcendental reflection and imply a sort of realist perspective on reason. The same preoccupation applies to the constructivist interpretation of the CPR. In order to deal with this issue, the following questions must be addressed: how can constructivism justify the necessity and universality of transcendental principles of pure reason without compromising the normative and procedural aspects of the construction? How to reconcile arguments based on the analysis of representations and faculties with a constructivist procedure? Or even, how may transcendental reflection, as a view of the possibility of a priori cognition, be rendered compatible with a constructive procedure? This paper is divided into three sections, followed by brief final remarks. The first section outlines the main characteristics of constructivism and relates them to Kant’s positions about the nature of philosophy and its method. The second part argues for a type of experimental constructivism that might serve as a guiding analogy to understand the method underlying the CPR. Thirdly, I will show how the transcendental subject and pure reason are derived from this experimental construction. The conclusion briefly points out some advantages of this position. (shrink)

In this article I am concerned with analogical reasoning in ethics. There is no doubt that the use of analogy can be a powerful tool in our ethical reasoning. The importance of this mode of reasoning is therefore commonly accepted, but there is considerable debate concerning how its structure should be understood and how it should be assessed, both logically and epistemically. In this paper, I first explain the basic structure of arguments from analogy in (...) ethics. I then discuss the diversity of analogical arguments that can be found in ethics. I analyse their structure, assess them from a logical viewpoint, and show how they can be epistemically challenged and defended. The result of this investigation is that, contrary to a commonly held view, analogical reasoning can be a logically valid type of ethical reasoning that can provide reasons for action that are not worse than the reasons provided by any other kind of practical reasoning. (shrink)

Available from UMI in association with The British Library. ;This thesis investigates the application of the theory of Conceptual Structures to an Experience Base model, which is a question-answering system for a knowledge base of pseudo-natural language statements of everyday experience. This thesis progresses to extend the fundamental principles carried from the experience base, to develop a framework for Reasoning by Analogy. Both methodologies are implemented, and uncertainty in the models is handled using the theory of Support Logic. (...) ;Incompleteness of information, uncertainty of data and the need for a definite structure to the way in which rules and data interact, are aspects which must be dealt with if the experience base is to succeed. One more aspect is the knowledge representation which dictates the ease with which processing may be performed upon it. Conceptual graphs are used to store information used by an Experience Base. Control of the reasoning is effected by plausible inference reinforced by the theory of Support Logic for handling uncertainty. The knowledge base is a set of initially completely disparate islands of knowledge, which the system automatically clusters into coherent groups in an associative network. ;The principles evolved from research into experience bases lead to the conception, development and implementation of a computational framework for Analogical Reasoning. The reasoning is performed between domains of knowledge rather than within a single domain as in case-based reasoning, and operates on pseudo-natural language statements as for the experience base. It relies on relation-based structure mapping and includes a sophisticated mechanism for translating between the new problem and the analogue. The strong connection between this work and metaphor interpretation is also investigated, together with ideas on how to negotiate with the apparent multitude of types of analogical reasoning. (shrink)

Concept formation in science is a reasoned process, commensurate with ordinary problem-solving processes. An account of how analogical reasoning and reasoning from imagistic representations generate new scientific concepts is presented. The account derives from case studies of concept formation in science and from computational theories of analogical problem solving in cognitive science. Concept formation by analogy is seen to be a process of increasing abstraction from existing conceptual structures.

Few, if any, scientific inquiries are conducted against a background of complete knowledge, a background in which inquirers are in possession of the ‘full facts’ that relate to a particular question or issue. More often than not, scientists are compelled to conduct their deliberations in contexts of epistemic uncertainty, in which partial knowledge or even a total absence of knowledge characterise inquiry. Nowhere is this epistemic uncertainty more evident, or indeed more successfully controlled, than in the branch of scientific inquiry (...) called epidemiology. In this paper, I examine how epidemiologists overcome the unique challenges to inquiry that are posed by epistemic uncertainty. In specific terms, I contend that epidemiologists employ analogical reasoning strategies in an attempt to advance their inquiries in situations that are epistemically uncertain. The context for my claims will be the early inquiries that were conducted into the emergence of HIV/AIDS in the United States. I argue that early scientific work in relation to HIV/AIDS was directly premised upon epidemiological investigations in which analogical reasoning with hepatitis B had featured significantly. I conclude that epidemiological investigations of AIDS exemplify the capacity of analogical reasoning to advance inquiry under conditions of epistemic uncertainty. To this extent, analogical reasoning should be a concern both to those who address practical problems of uncertainty management and to those who pursue theoretical debates within argumentation studies and epistemology. (shrink)

This thesis addresses two enduring issues in legal theory-- rationality and its association with rule of law values--by offering detailed models of two patterns of legal reasoning. One is reasoning by analogy. The other is the inference process that legal reasoners use when they defer epistemically to scientific experts in the course of reaching legal decisions. Discussions in both chapters reveal that the inference pattern known as "abduction" is a deeply important element of many legal inferences, including (...) analogy and epistemic deference to experts--something that has been largely unrecognized in legal theory. After presenting a detailed model of analogy, Chapter 1 argues that legal reasoning by analogy, like analogical argument in logic, mathematics, and the natural sciences, possesses a great deal of rational force when properly executed. Chapter 2 investigates the reasoning process by which non-expert legal reasoners defer epistemically to the judgments of scientists. It presents five main conclusions or explanations. Every practical syllogism actually consists of two distinct chains of inference, and what is usually considered in writings on practical reasoning to be the minor premise of a practical syllogism is actually the conclusion of a separate chain of argument. When a practical reasoner defers epistemically to a theoretical expert, this separate chain of argument has a special structure, which is modeled in Chapter 2. The non-expert legal reasoner must always make a prescriptive practical judgment about the standard of epistemic appraisal and level of epistemic confidence that the reasoner requires of scientific evidence before it may be relied upon in reaching a legal decision. Legal systems should be committed to an emergent rule of law ideal identified and referred to as "intellectual due process" which condemns epistemically arbitrary reasoning processes insofar as they play a role in legal decisionmaking. Since non-arbitrariness is a necessary condition of both epistemic and legal legitimacy, we have compelling reason to doubt that the non-arbitrariness condition can be met when non-experts defer epistemically to scientific experts. (shrink)

Legal Reason describes and explains the process of analogical reasoning, which is the distinctive feature of legal argument. It challenges the prevailing view, urged by Edward Levi, Cass Sunstein, Richard Posner and others, which regards analogical reasoning as logically flawed or as a defective form of deductive reasoning. It shows that analogical reasoning in the law is the same as the reasoning used by all of us routinely in everyday life and that it is a (...) valid form of reasoning derived from the innate human capacity to recognize the general in the particular, on which thought itself depends. The use of analogical reasoning is dictated by the nature of law, which requires the application of rules to particular facts. Written for scholars as well as students and persons generally who are interested in law, Legal Reason is written in clear, accessible prose, with many examples drawn from the law and from everyday experience. (shrink)

Janina Hosiasson-Lindenbaum is a known figure in philosophy of probability of the 1930s. A previously unpublished manuscript fills in the blanks in the full picture of her work on inductive reasoning by analogy, until now only accessible through a single publication. In this paper, I present Hosiasson’s work on analogical reasoning, bringing together her early publications that were never translated from Polish, and the recently discovered unpublished work. I then show how her late work relates to Rudolf (...) Carnap’s approach to “analogy by similarity” developed in the 1960s. Hosiasson turns out to be a predecessor of the line of research that models analogical influence as inductive relevance. A translation of Hosiasson’s manuscript concludes the paper. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Hume Studies Volume 28, Number 1, April 2002, pp. 113-130 Bayesianism, Analogy, and Hume's Dialogues concerning Natural Religion SALLY FERGUSON Introduction Analyses of the argument from design in Hume's Dialogues concerning Natural Religion have generally treated that argument as an example of reasoning by analogy.1 In this paper I examine whether it is in accord with Hume's thinking about the argument to subsume the version of (...) it given in the Dialogues under the model of probabilistic reasoning offered by Bayes's theorem. Wesley Salmon attempted this project in 1978.2 In related projects, David Owen3 as well as Philip Dawid and Donald Gillies4 have more recently attempted to construct Bayesian analyses of Hume's argument concerning testimony in "Of Miracles." I want to be careful at this stage to note exactly what I will claim. It is not that Bayesian reasoning sheds no light on the argument from design, or on arguments concerning testimony. All of the analyses mentioned above are beneficial in that they have been able to expose subtleties in these arguments that had previously gone unnoticed. Salmon's paper, in particular, contributes nicely to an understanding of just how the design argument may function in relation to contemporary scientific reasoning. In this paper I argue that, nonetheless, the attempt to apply Bayesian reasoning to the argument as presented in the Dialogues is not well supported as a reconstruction of Hume's own approach to the argument from design. Sally Ferguson is Assistant Professor of Philosophy, University of West Florida, UOOO University Parkway, Pensacola, FL 32514, USA. e-mail: sallyf@uwf.edu 114 Sally Ferguson There are two stages to my treatment of the issue. I begin by considering how much Hume knew of Bayes's theorem, and what consequence that knowledge might have had on his treatment of the argument in the Dialogues. This discussion includes a consideration of exactly what has been claimed by other authors on this subject, including what some have argued concerning Hume's reasonings in "Of Miracles," section 10 of An Enquiry concerning Human Understanding. I conclude that, based on the historical data, there is little reason to think of Hume's approach to the argument from design as anything more than proto-Bayesian at best. I then argue further, through a close textual analysis of the Dialogues, that there are good reasons for not treating Hume's reasoning there as even proto-Bayesian. In the end, the benefits that have been claimed for that approach, in terms of exposing both the subtleties of the argument and of Hume's reasoning about it, can equally well be derived from a careful analysis of the argument under a model of analogical reasoning, without need of Bayes's theorem. Section One Perhaps one might think that there is not much use for a consideration of the question whether Hume himself conceived of any of his arguments along specifically Bayesian lines. As Gower argues,5 Hume's knowledge of mathematics in general was fairly limited, and Bayes's theorem was not well known even up until Hume's death. It is important, therefore, for me to establish that there have not only been those who thought that Bayesian reasoning illuminates the arguments Hume gave, but also his own thinking about those arguments. It is also important for me to establish that it is not obvious that knowledge of Bayes's theorem did not affect Hume's reasonings. Each of these points will be addressed in the following. As to the first point, the claims of some authors on the subject are ambiguous. Dawid and Gillie, for example, make no statement to the effect that the probabilities involved in Bayes's theorem were in fact examined in "Of Miracles," nor do they attempt to produce any passages from Hume in support of that view. Thus it would be assumed that they see their attempt not as an attempt to provide an analysis that represents Hume's own approach to the argument, but rather simply as one that provides an illuminating method of analysis and support for an argument that Hume happened to give. Indeed, their conclusion, to the effect that a... (shrink)

A new look at analogical reasoning Content Type Journal Article Pages 1-5 DOI 10.1007/s11016-011-9563-z Authors Dirk Schlimm, Department of Philosophy, McGill University, Montreal, QC H3A 2T7, Canada Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.

The ability to reason by analogy is particularly important because it permits the extension of knowledge of a target domain by virtue of its similarity to a base domain via a process of analogical inference. The general procedure for analogical inference involves copying structure from the base to the target in which missing information is generated, and substitutions are made for items for which analogical correspondences have already been found. A pure copying with substitution and generation process is too (...) profligate to be useful, and so constraints must be placed on what information is to be carried over. In this paper, the importance of systematicity as a constraint on inference is explored in four studies in which subjects find correspondences between domains and also make inferences. This work suggests that people prefer to make inferences of information connected to systematic correspondences between domains. A second important theme of this paper is that violations of one‐to‐one mapping can lead to inconsistent object substitutions in inference. The data reveal no such inconsistent substitutions in people's inferences, suggesting that they do respect one‐to‐one mapping in analogical inference. These findings are discussed relative to four prominent computational models of analogical mapping and inference. (shrink)

Analogy making from examples is a central task in intelligent system behavior. A lot of real world problems involve analogy making and generalization. Research investigates these questions by building computer models of human thinking concepts. These concepts can be divided into high level approaches as used in cognitive science and low level models as used in neural networks. Applications range over the spectrum of recognition, categorization and analogy reasoning. A major part of legal reasoning could (...) be formally interpreted as an analogy making process. Because it is not the same as reasoning in mathematics or the physical sciences, it is necessary to use a method, which incorporates first the ability to specify likelihood and second the opportunity of including known court decisions. We use for modelling the analogy making process in legal reasoning neural networks and fuzzy systems. In the first part of the paper a neural network is described to identify precedents of immaterial damages. The second application presents a fuzzy system for determining the required waiting period after traffic accidents. Both examples demonstrate how to model reasoning in legal applications analogous to recent decisions: first, by learning a system with court decisions, and second, by analyzing, modelling and testing the decision making with a fuzzy system. (shrink)

There is a growing consensus that the offer of a reasonable compensation for oocyte donation for reproductive treatment is acceptable if it does not compromise voluntary and altruistically motivated donation. However, how to translate this ‘reasonable compensation’ in practice remains unclear as compensation rates offered to oocyte donors between different European Union countries vary significantly. Clinics involved in oocyte donation, as well as those in other medical contexts, might be encouraged in calculating a more consistent and transparent compensation for donors (...) if the elements that constitute a reasonable compensation are explicated. In doing so, lessons can be learnt from living organ donation and medical research participation. Practices in which the elements of a reasonable compensation for the individuals involved have already been more defined in the literature. By means of analogical reasoning, we will outline the different components of a reasonable compensation and subsequently apply these to the context of oocyte donation. We will argue that oocyte donors should first of all be reasonably reimbursed direct expenses related to the donation, without standard remuneration of lost wages. Second, donating oocytes requests a serious time investment, therefore donors are entitled to suitable compensation for their time spent and efforts made. Finally, we will explain that a reasonable compensation consisting of these two components allows for altruism to remain the key value of oocyte donation for reproductive treatment. However, if we acknowledge that donors’ motives are more complex and often include reasons from self-interest, the reasonable compensation may be complemented with modest (non)monetary benefits. (shrink)