Combining genetic algorithms that produce complex, fluid, biomorphic shapes with probabilistic systems that incorporate randomness, the designers attempt to mimic adaptive systems in natural evolution in order to arrive at intelligent design solutions. The design processes are said to be interactive and sensitive to varying conditions, behaving like an exceptionally perceptive and adaptive organism during an evolutionary process (Somol 2004: 8687); this process can be compared to the recent attempt by the architectural avant-garde to move beyond the (...) semiotic interests of deconstructionism and tap into the authority of the natural sciences. In some sense, an analogy can be drawn to natural evolution. In the natural world, adaptation and change result from an iterative progress, from one generation to the next, driven by mutation, recombination, and the survival of the fittest in the sense of selection. Following the model of nature in architecture, as proposed by some proponents of parametricism, should not be expected to make buildings more precisely adapted to particular circumstances and optimally functional. Evolutionary theory is used in contemporary architecture as a form of legitimization. It can also cast light on ethical issues, not reducing the human mind's creative intelligence to some sort of genetic determinism, developing in the free market of social choice. Therefore, searching for better ways of managing resources should be at the core of an adaptive concept of architecture. (shrink)

Ligation is a form of chemical self-assembly that involves dynamic formation of strong covalent bonds in the presence of weak associative forces. We study an extremely simple form of ligation by means of a dissipative particle dynamics (DPD) model extended to include the dynamic making and breaking of strong bonds, which we term dynamically bonding dissipative particle dynamics (DDPD). Then we use a chemical genetic algorithm (CGA) to optimize the model’s parameters to achieve a limited form of ligation of trimers—a (...) proof of principle for the evolutionary design of self-assembling chemical systems. (shrink)

For Bering, appreciating that people are objects is a developmental accomplishment. Baldwin and Piaget agree. However, for Piaget, an immanent conception of the divine is more developed than a separate transcendent God. Culture also matters. In Plato's Phaedo, Socrates' belief in immortality was a reasoned conclusion – not “built in” – for reasons similar to those still held by modern scientists.

(1993). Evolutionary competence in the postmodern family: An idealized design approach. World Futures: Vol. 36, Evolutionary Consciousness, pp. 81-105.

In this article, I first interpret and evaluate the main argument of E. V. R. Kojonen's book, The Compatibility of Evolution and Design. I then address a challenge against this argument (as well as against design arguments in general), namely, the problem of seemingly malevolent and bad designs in nature. Evolutionary theodicists commonly deal with this problem by assuming that the evolutionary process is not fully under God's control. This solution, however, is deeply problematic from the (...) perspective of classical theism. I therefore suggest another approach to the problem, inspired by the thought of Thomas Aquinas. (shrink)

What is the experience of creating a synergistic approach to arts and sciences practice in a learning community focused on the notion of sustainable development? In this article, I answer this question through an evolutionary approach to societal transformation. My social research inquiry integrates the arts and sciences, a learning and design community, sustainable development, and Internet networking. Codesigners created the conditions to explore in multimodal dialogue and engage, guide, and design the emergence of what I call (...) evolutionary artscience through portfolios and a new systems design space-the ArtSciLAB (an online artscience laboratory). Eighteen individuals working in nine countries participated in the Evolutionary Learning Community Network. Our learning and design experience, guided by Evolutionary Systems Design inquiry supports General Evolution Theory. We guided the Evolutionary Learning Community Network and designed the ArtSciLAB to incubate localized knowledge for development in learning regions worldwide. (shrink)

The prevalence of optimality models in the literature of evolutionary biology is testimony to their popularity and importance. Evolutionary biologist R. C. Lewontin, whose criticisms of optimality models are considered here, reflects that "optimality arguments have become extremely popular in the last fifteen years, and at present represent the dominant mode of thought." Although optimality models have received little attention in the philosophical literature, these models are very interesting from a philosophical point of view. As will be argued, (...) optimality models are central to evolutionary thought, yet they are not readily accomodated by the traditional view of scientific theories. According to the traditional view, we would expect optimality models to employ general, empirical laws of nature, but they do not. Fortunately, the semantic view of scientific theories, a recent alternative to the traditional view, more readily accomodates optimality models. As we would expect on the semantic view, optimality models can be construed as specifications of ideal systems. These specifications may be used to describe empirical systems--that is, the specifications may have empirical instances. But the specifications are not empirical claims, much less general, empirical laws. Although philosophers have yet to discuss the general features and uses of optimality models, these topics have stimulated much recent discussion among evolutionary biologists. Their discussions raise a number of precautions concerning the proper use of optimality models. Moreover, many of their caveats can be interpreted as general reminders that 1) optimality models specify ideal systems whose empirical instantiations may be quite restricted, and that 2) optimality models should not be construed as general, empirical laws. As G. F. Oster and E. O. Wilson caution, "the prudent course is to regard optimality models as provisional guides to further empirical research and not necessarily as the key to deeper laws of nature." It seems, then, that the semantic view of theories is more sensitive to the nature and limitations of optimality models than is the more traditional view of theories. (shrink)

I argue that Evolutionary Psychologists’ notion of adaptationism is closest to what Peter Godfrey-Smith (2001) calls explanatory adaptationism and as a result, is not a good organizing principle for research in the biology of human behavior. I also argue that adopting an alternate notion of adaptationism presents much more explanatory resources to the biology of human behavior. I proceed by introducing Evolutionary Psychology and giving some examples of alternative approaches to the biological explanation of human behavior. Next I (...) characterize adaptation and explain the range of biological phenomena that can count as adaptations. I go onto introduce the range of adaptationist views that have been distinguished by philosophers of biology and lay out explanatory adaptationism in detail. (shrink)

The Evolutionary Guidance System (EGS) is a holistic and inclusive model for designing self-organizing social systems. Such a model must be driven by evolutionary values articulated by the members of the system. The small community is an ideal context for the "growing" of an Evolutionary Guidance System. This paper describes the creation of an EGS in a community organization. The rational for the activity is to bring harmony and build community among the members of the organization and, (...) at the same time, to reach out and include the larger community. This organization can provide a model for other organizations in the town, and the ultimate goal is to install an EGS as a nongovernmental design system for the town. (shrink)

This article begins by describing the impact of systems science on the field of marriage and family therapy, discussing that systems concepts are broadly disseminated but have become diluted. The author describes the educational program at a marriage and family therapy graduate institute where students utilize social systems design in their research projects as well as their work with clients. The article outlines the specifications of the Idealized Systems Design (ISD) teaching system, its relationship with the larger institution, (...) as well as its purposes and systemic functions. Application of ISD to the field of marriage and family therapy is emphasized, demonstrating its use in helping facilitate individual, family, and community health as a research tool as well as a set of intervention tools for the practicing therapist. (shrink)

In this article, I critically respond to Herbert Gintis's criticisms of the behavioral-economic foundations of Ken Binmore 's game-theoretic theory of justice. Gintis, I argue, fails to take full account of the normative requirements Binmore sets for his account, and also ignores what I call the ‘scale-relativity’ considerations built into Binmore 's approach to modeling human evolution. Paul Seabright's criticism of Binmore, I note, repeats these oversights. In the course of answering Gintis's and Seabright's objections, I clarify and extend Binmore (...) 's theory in a number of respects, integrating it with Kim Sterelny's and Don Ross's recent work on the evolution of people as cultural entities. The account also yields a novel basis for choosing between socialism and what Binmore calls ‘whiggery’ as normative political programs. Key Words: theory of justice • bargaining theory • evolutionary game theory • human evolution • Ken Binmore • Herbert Gintis • Kim Sterelny. (shrink)

Recent work in the cognitive sciences has argued that beliefs sometimes acquire signaling functions in virtue of their ability to reveal information that manipulates “mindreaders.” This paper sketches some of the evolutionary and design considerations that could take agents from solipsistic goal pursuit to beliefs that serve as social signals. Such beliefs will be governed by norms besides just the traditional norms of epistemology. As agents become better at detecting the agency of others, either through evolutionary history (...) or individual learning, the candidate pool for signaling expands. This logic holds for natural and artificial agents that find themselves in recurring social situations that reward the sharing of one’s thoughts. (shrink)

(1999). Evolutionary systems design: A soft technology for hard challenges. World Futures: Vol. 54, Challenges of Evolution at Pat I: The Human Factor in Evolution, pp. 313-335.

The effectiveness of evolutionary algorithms is one of the issues discussed in The Compatibility of Evolution and Design, where it is argued that such algorithms are only effective when stringent preconditions are met. This article considers this issue from the perspective of computer science. It explores the properties of problems that can be effectively solved by evolutionary algorithms, and the extent to which such algorithms need to be carefully adjusted. Although there are important differences between the study (...) of evolutionary algorithms in computer science and the study of biological evolution, it is argued that the experience of computer science can help to strengthen the claim that evolutionary mechanisms generally require a considerable degree of fine-tuning. (shrink)

In the first half of the twentieth century there was a remarkable convergence of art and design in De Stijl, Constructivism and the Bauhaus. But in the second half of the twentieth century fine art relinquished its liaison with design due to the influence of Dada and Surrealism's postromantic antagonism to practical-functionalism. Dada and Surrealism and postmodern fine art are characterized by a critique of the dominant social discourse of functionalism and the demand for a sublime poetics to (...) be brought into everyday life. This article argues that the apparent antipathy between postmodern fine art and design can be ameliorated if we critically analyse interpretations of evolutionary theory by postromantic philosophers such as Nietzsche, Bergson, and Deleuze and Guattari. When Bergson notes that practical-functional reasoning was created by evolution he reveals a flaw in the pursuit of an aesthetics that is totally opposed to commonsense and practical-functionalism. And when we turn to Deleuze and Guattari we find another valuable concept in the form of their notion of the machinic, which assists further in reconciling the postromantic emphasis on the sublime with the practicality of mechanism. Moreover, Deleuze and Guattari's notion of the machinic is informed by chaos theory, which allows further elaboration in terms of complexity theory. Complexity theory can be understood as a process philosophy that has no need to figure the sublime in terms of a mysterious force of nature because the mystery is located within complex interactions among a manifold of components, what one might refer to as a cosmic, machinic, combinatoire that arises out of what Christopher Langton has called the edge of chaos. This makes it possible to replace the emphasis on desire as the fundamental force of nature evident in Nietzsche, Bergson, Deleuze and Guattari with a complexity-theoretical concept of a cosmicmachinic combinatoire. It is then possible to formulate a machinic, evolutionary aesthetics that can reconcile the postromantic demand for sublimity with the demand for practical-functionalism that lies at the heart of the discipline of design. In place of the modernist machine aesthetic that informed De Stijl, Constructivism and the Bauhaus we would have a postmodernist machinic aesthetic. (shrink)

The current Evolutionary Psychology Movement argues that the mind/brain cannot be understood except by conceiving of it as the product of design by natural selection. Cognitive science should proceed by reconstructing the adaptive pressures that shaped the mind and then looking for mental structure predicted by this these reconstructions. It is argued that this is not a practical solution, because our ability to reconstruct the evolutionary pressures that shaped the mind is exactly proportional to our preexisting understanding (...) of mental structure. EPM's criticisms of contemporary cognitive science are strikingly similar to the criticisms of behavioristic psychology made by the founders of ethology, Lorenz and Tinbergen, fifty years ago. But the ethologists drew the conclusion that psychology should investigate the mind's performance on ecologically valid tasks. This is shown to be a more tractable proposal for injecting an evolutionary perspective into cognitive science. In the second part of the paper it is argued that the concept of 'design' central to EPM is not fully naturalistic, in the sense that it envisages a process more like intelligent design than like a realistic model of evolution by natural selection. An enriched model of evolutionary psychology is outlined, modeled on recent 'evolutionary developmental biology' approaches to morphological evolution, and which we call 'evolutionary developmental psychology'. Like 'evo-devo' more generally, EDP recognizes that selection builds systems that develop in an environment, not phenotypes that are transmitted. The nature of evolutionary dynamics is a function of the nature of development. It is argued that EDP allows a more productive integration of the role of the environment in psychological development into evolutionary psychology than has so far been achieved by EPM. (shrink)

This article shows how Bernard Lonergan's philosophy of science can bring resolution to a recent controversy: the controversy that arises from Intelligent Design theorists' and proponents of neo-Darwinian evolution. Intelligent Design theories argue that the complex structures of living organisms cannot be adequately explained by neo-Darwinian theories, especially by its postulate of random variations. Hence, an "intelligent designer" must be postulated in order to fill out scientific explanations. This article finds fault with the Intelligent Design arguments, but (...) proposes a different form of design argument–one that accepts neo-Darwinian evolution (or something very much like it). It shows how Lonergan's analysis of scientific methods grounds his account of evolution, and how much this can overcome the most basic Intelligent Design objections. It then shows how Lonergan's philosophy of God also can offer a design argument based, not in the complexity of this or that organism, but in the "design" of evolution itself. /// O presente artigo mostra até que ponto a filosofia da ciência de Bernard Lonergan pode trazer resolução à recente controvérsia suscitada pelos defensores da Teoria do Desígnio Inteligente, teoria essa fortemente atacada pelos defensores neo-darwinistas da teoria da evolução. As teorias do Desígnio Inteligente defendem que as estruturas complexas dos organismos vivos não podem ser adequadamente explicadas pelas teorias neo-darwinistas, especialmente pelo seu postulado relativo às variações de acaso. Nesse sentido, um agente Inteligente teria de ser postulado em ordem a prover as necessárias explicações científicas. O autor do presente artigo, porém, considera que a argumentação dos defensores do Desígnio Inteligente é defeituosa, pelo queavança um novo argumento de desígnio, um efectivamente que aceita a teoria da evolução neo-darwiniana (ou algo muito semelhante a ela). Em suma, o artigo mostra até que ponto a análise lonerganiana dos métodos científicos subjaz à sua própria teoria da evolução, mostrando-se assim também de que forma esta doutrina ultrapassa as objecções mais elementares dos defensores da Teoria do Desígnio Inteligente. Por fim, mostra-se ainda de que modo a filosofia de Lonergan sobre Deus pode oferecer um argumento de desígnio baseado, não na complexidade deste ou daquele organismo, mas no "desígnio" da evolução em si mesma. (shrink)

The Narrow Evolutionary Psychology Movement represents itself as a major reorientation of the social/behavioral sciences, a group of sciences previously dominated by something called the ‘Standard Social Science Model’. Narrow Evolutionary Psychology alleges that the SSSM treated the mind, and particularly those aspects of the mind that exhibit cultural variation, as devoid of any marks of its evolutionary history. Adherents of Narrow Evolutionary Psychology often suggest that the SSSM owed more to ideology than to evidence. It (...) was the child of the 1960s, representing a politically motivated insistence on the possibility of changing social arrangements such as gender roles: " ‘Not so long ago jealousy was considered a pointless, archaic institution in need of reform. But like other denials of human nature from the 1960s, this bromide has not aged well.’ ) " This view of history does not ring true to those, like the authors, who have worked in traditions of evolutionary theorizing about the mind that have a continuous history through the 1960s and beyond: traditions such as evolutionary epistemology and psychoevolutionary research into emotion (Griffiths. (shrink)

The Narrow Evolutionary Psychology Movement represents itself as a major reorientation of the social/behavioral sciences, a group of sciences previously dominated by something called the ‘Standard Social Science Model’ (SSSM; Cosmides, Tooby, and Barkow, 1992). Narrow Evolutionary Psychology alleges that the SSSM treated the mind, and particularly those aspects of the mind that exhibit cultural variation, as devoid of any marks of its evolutionary history. Adherents of Narrow Evolutionary Psychology often suggest that the SSSM owed more (...) to ideology than to evidence. It was the child of the 1960s, representing a politically motivated insistence on the possibility of changing social arrangements such as gender roles: ‘Not so long ago jealousy was considered a pointless, archaic institution in need of reform. But like other denials of human nature from the 1960s, this bromide has not aged well.’ (Stephen Pinker, endorsement for Buss, 2000)) This view of history does not ring true to those, like the authors, who have worked in traditions of evolutionary theorizing about the mind that have a continuous history through the 1960s and beyond: traditions such as evolutionary epistemology (Stotz, 1996; Callebaut and Stotz, 1998) and psychoevolutionary research into emotion (Griffiths. (shrink)

(1993). A “user“‐designed mediation approach, fostering evolutionary consciousness and competence. World Futures: Vol. 36, Evolutionary Consciousness, pp. 155-164.

Abstract. This paper examines the impact of two formalizations of evolutionary biology on the antiselectionist critiques of the Intelligent Design (ID) movement. It looks first at attempts to apply the syntactic framework of the physical sciences to biology in the twentieth century, and to their effect upon the ID movement. It then examines the more heuristic account of biological-theory structure, namely, the semantic model. Finally, it concludes by advocating the semantic conception and emphasizing the problems that the semantic (...) model creates for ID's negative and positive theses. (shrink)

This article presents the genesis of Evolutionary Systems Design (ESD) as a praxis that draws on General Evolution Theory and Social Systems Design methodology, in addition to Critical Systems Theory, to engage in lifelong learning and human development in partnership with the Earth. The contributions of Bela H. Banathy to the creation of ESD are portrayed as bridging evolutionary consciousness and evolutionary action. Following a brief description of the inspiration and mentorship provided by Bela in (...) this regard, the roots of ESD are traced back to General Evolution Theory. It is described how notions of evolutionary stewardship grew out of encounters with Bela and his work at the International Systems Institute, and were given operational viability through the methodology of Social Systems Design he developed. The fundamental tenets of ESD are presented and discussed by way of a four-stage evolutionary learning framework. Finally, the vehicle of Evolutionary Learning Community through which ESD operates is shown to embody the potential for individuals and groups to think, live, and act in harmony with the dynamics of which they are a part as a means to guide the conscious creation of sustainability. (shrink)

This article reports the results of an experiment involving 108 college students with varying backgrounds in biology. Subjects answered questions about the evolutionary history of sets of hominid and equine taxa. Each set of taxa was presented in one of three diagrammatic formats: a noncladogenic diagram found in a contemporary biology textbook or a cladogram in either the ladder or tree format. As predicted, the textbook diagrams, which contained linear components, were more likely than the cladogram formats to yield (...) explanations of speciation as an anagenic process, a common misconception among students. In contrast, the branching cladogram formats yielded more appropriate explanations concerning levels of ancestry than did the textbook diagrams. Although students with stronger backgrounds in biology did better than those with weaker biology backgrounds, they generally showed the same effects of diagrammatic format. Implications of these results for evolution education and for diagram design more generally are discussed. (shrink)

Design thinking in general, and optimality modeling in particular, have traditionally been associated with adaptationism—a research agenda that gives pride of place to natural selection in shaping biological characters. Our goal is to evaluate the role of design thinking in non-evolutionary analyses. Specifically, we focus on research into abstract design principles that underpin the functional organization of extant organisms. Drawing on case studies from engineering-inspired approaches in biology we show how optimality analysis, and other design-related (...) methods, play a specific methodological role that is tangential to the study of adaptation. To account for the role of these reasoning strategies in contemporary biology, we therefore suggest a reevaluation of the connection between design thinking and adaptationism. (shrink)

Evolutionary Psychology links the methodology for cognitive science associated with the late David Marr to evolutionary theory. The mind is conceived as a bundle of modules which can be described at three theoretical levels. Each module represents an adaptation to some specific ecological problem. Evolutionary psychologists try to derive the highest level of description using a heuristic method called 'adaptive thinking'. This paper questions the value of the official EP methodology and reasserts the value of the earlier (...) methodology associated with classical ethology, in which the structural and comparative analysis of the products of evolution precedes the investigation of their origin by natural selection. The adaptive heuristic is shown to be unhelpful. It tends to restrict psychology to work designed to confirm our preconceptions. It is argued that evolutionary psychology must be retrodictive and explanatory, rather than predictive, and that a powerful method for testing postulated claims about the adaptive origin of traits is available in modern versions of the comparative method. Some arguments for the inapplicability of the comparative method to human psychoevolution are examined and shown to be specious. These various points are exemplified in evolutionary work on emotions. (shrink)

Evolutionary psychology and intelligent‐design theory both need to be able to account for the empirical world, or the world as it is. This essay is an attempt to clarify the challenges these theories need to meet, if the relevant empirical findings are replicable. There is evidence of change in the biological world and of modularity of mind, and there is a growing body of work that finds evolutionary theory a convincing and fruitful account of the “design” (...) of the mind. Three major empirical findings within evolutionary psychology are presented and discussed. The author claims that Cartesian dualism, as it is usually meant within psychology—a split between body and mind—is false, but that Descartes' original division between body and soul has not been challenged and is not challenged by the evidence that the mind is also a biological entity. The article concludes that the convergence of theology and science is to be found in the onus to discover the truth about the world as it really is, and this calls for an ability on both parts to account for the empirical world. (shrink)

Ever since Darwin people have worried about the sceptical implications of evolution. If our minds are products of evolution like those of other animals, why suppose that the beliefs they produce are true, rather than merely useful? We consider this problem for beliefs in three different domains: religion, morality, and commonsense and scientific claims about matters of empirical fact. We identify replies to evolutionary scepticism that work in some domains but not in others. One reply is that evolution can (...) be expected to design systems that produce true beliefs in some domain. This reply works for commonsense beliefs and can be extended to scientific beliefs. But it does not work for moral or religious beliefs. An alternative reply which has been used defend moral beliefs is that their truth does not consist in their tracking some external state of affairs. Whether or not it is successful in the case of moral beliefs, this reply is less plausible for religious beliefs. So religious beliefs emerge as particularly vulnerable to evolutionary debunking. (shrink)

Evolutionary approaches to the emotions have traditionally focused on a subset of emotions that are shared with other species, characterized by distinct signals, and designed to solve a few key adaptive problems. By contrast, an evolutionary psychological approach (a) broadens the range of adaptive problems emotions have evolved to solve, (b) includes emotions that lack distinctive signals and are unique to humans, and (c) synthesizes an evolutionary approach with an information-processing perspective. On this view, emotions are superordinate (...) mechanisms that evolved to coordinate the activity of other programs in the solution of adaptive problems. We illustrate the heuristic value of this approach by furnishing novel hypotheses for disgust and sexual arousal and highlighting unexplored areas of research. (shrink)

The evolutionary challenge for technology in the third millennium is one of designing the vehicles for sustainable human and societal development in partnership with earth. The challenge calls for the conscious creation of evolutionary systems-not through the "hard technologies" that shape and mold the physical infrastructure of our planet, but through "soft technologies" that augment creative and constructive processes of human interaction. Through them, humanity has the opportunity to create the conditions for the emergence of a true learning (...) society at both regional and global levels. The meaning of key terms such as evolution, technology, and development must be explored if we are to create a shared understanding of the contemporary survival challenges faced by humanity. This paper explores both the promise and the threat faced by a techno-civilization such as is emerging on our planet in the early twenty-first century. (shrink)

This paper discusses how the theory of evolutionary Asiacentrism and the Peking Man findings at the Zhoukoudian site stimulated Chinese intellectuals to construct Sinocentric ethno-nationalism during the period from the late 1920s to the early 1940s. It shows that the theory was first popularized by foreign scientists in Beijing, and the Peking man discoveries further provided strong evidence for the idea that Central Asia, or to be more specific, Tibet, Xinjiang, and Mongolia, was the original cradle of humans. Chinese (...) scholars in the late 1930s and 1940s appropriated the findings to construct the monogenesis theory of the Chinese, which designated that all the diverse ethnic groups within the territory of China shared a common ancestor back to antiquity. (shrink)

The design argument was rebutted by David Hume. He argued that the world and its contents (such as organisms) were not analogous to human artifacts. Hume further suggested that there were equally plausible alternatives to design to explain the organized complexity of the cosmos, such as random processes in multiple universes, or that matter could have inherent properties to self-organize, absent any external crafting. William Paley, writing after Hume, argued that the functional complexity of living beings, however, defied (...) naturalistic explanations. In effect he dared anyone to come up with an alternative to his inference to design, and hence a designer, outside of nature. Charles Darwin explained the apparent design of functional complexity by his theory of natural selection. Asa Gray, however, in essays as well as in correspondence with Darwin argued that natural selection allowed for a type of ' evolutionary teleology' in which design at most could be considered the result of universal principles. F. E. Hicks updated Hume by specifically objecting to the use of design arguments by Paley. Hicks argued that the apparent design seen in nature reflected order at a deep level in nature. The design argument was briefly revived by Lawrence Henderson early in the twentieth century but he ultimately concluded that design and teleology were not necessarily mutually entailing and he retracted his design argument in favor of one that he termed ' natural teleology'. The current claims of ' intelligent design' have the same logical problems that have beset previous design arguments. If design is divorced from teleology and its discontents put behind us, then there is a possibility that the latter can have a place in the development of theories to explain the phenomena of emergent complexity. (shrink)

Emotions can be explained as specialized states, shaped by natural selection, that increase fitness in specific situations. The physiological, psychological, and behavioral characteristics of a specific emotion can be analyzed as possible design features that increase the ability to cope with the threats and opportunities present in the corresponding situation. This approach to understanding the evolutionary functions of emotions is illustrated by the correspondence between (a) the subtypes of fear and the different kinds of threat; (b) the attributes (...) of happiness and sadness and the changes that would be advantageous in propitious and unpropitious situations; and (c) the social emotions and the adaptive challenges of reciprocity relationships. In addition to addressing a core theoretical problem shared by evolutionary and cognitive psychology, explicit formulations of the evolutionary functions of specific emotions are of practical importance for understanding and treating emotional disorders. (shrink)

The design argument for the existence of God took a probabilistic turn in the 17 th and 18 th centuries. Earlier versions, such as Thomas Aquinas' 5 th way, usually embraced the premise that goal-directed systems (things that "act for an end" or have a function) must have been created by an intelligent designer. This idea – which we might express by the slogan "no design without a designer" – survived into the 17 th and 18 th centuries, (...) 1 and it is with us still in the writings of many creationists. The new version of the argument, inspired by the emerging mathematical theory of probability, removed the premise of necessity. It begins with the thought that goal-directed systems might have arisen by intelligent design or by chance; the problem is to discern which hypothesis is more plausible. With the epistemic concept of plausibility characterized in terms of the mathematical concept of probability, the design argument was given a new direction. The new probabilistic perspective did not extinguish the older idea of "no design without a designer." The two conflicting approaches coexisted, often with less than perfect clarity about their fundamental difference. At the same time, the details of how the probabilistic perspective ought to be articulated were slow in emerging. These characteristics of uneven development are exemplified in a debate that took place in the 18 th century among three probabilists – John Arbuthnot, Nicholas Bernoulli, and Abraham DeMoivre – on the proper explanation of human sex ratio. Arbuthnot proposed a probabilistic version of the design argument, claiming that it is intelligent design, not chance, that provides the better explanation of why slightly more boys than girls are born each year. Bernoulli rejected Arbuthnot's argument. DeMoivre defended Arbuthnot against Bernoulli's criticisms. The problem of explaining sex ratio, both in human populations and in the rest of nature, experienced another transformation after 1859 --it became a problem for the theory of evolution by natural selection. Darwin (1871) addressed the question in the first edition of The Descent of Man but withdrew his suggestion in the second (Darwin 1874). Carl Düsing (1884) provided a mathematical model that moved beyond the explanation Darwin offered. Fisher (1930) added the new idea of parental expenditure. Williams (1966) argued that the sex ratios found in nature provide the opportunity to test hypotheses of group selection against hypotheses of individual selection. Hamilton (1967) constructed a model that generalizes Fisher's approach and represents the effects of both group and individual selection. The theory of natural selection gradually developed the ability to predict sex ratios, not just explain them post hoc. (shrink)

This book introduces generative grammar as an area of study and asks what it tells us about the human mind. Wolfram Hinzen lays the foundation for the unification of modern generative linguistics with the philosophies of mind and language. He introduces Chomsky's program of a 'minimalist' syntax as a novel explanatory vision of the human mind. He explains how the Minimalist Program originated in work in cognitive science, biology, linguistics, and philosophy, and examines its implications for work in these fields. (...) He considers the way the human mind is designed when seen as an arrangement of structural patterns in nature, and argues that its design is the product not so much of adaptive evolutionary history as of principles and processes that are ahistorical and internalist in character. Linguistic meaning, he suggests, arises in the mind as a consequence of structures emerging on formal rather than functional grounds. From this he substantiates an unexpected and deeply unfashionable notion of human nature. Clearly written in nontechnical language and assuming a limited knowledge of the fields it examines and links, Minimal Mind Design will appeal to a wide range of scholars in linguistics, philosophy, and cognitive science. It also provides an exceptionally clear insight into the nature and aims of Chomsky's Minimalist Program. (shrink)

This paper defends two theses about probabilistic reasoning. First, although modus ponens has a probabilistic analog, modus tollens does not – the fact that a hypothesis says that an observation is very improbable does not entail that the hypothesis is improbable. Second, the evidence relation is essentially comparative; with respect to hypotheses that confer probabilities on observation statements but do not entail them, an observation O may favor one hypothesis H1 over another hypothesis H2 , but O cannot be said (...) to confirm or disconfirm H1 without such relativization. These points have serious consequences for the Intelligent Design movement. Even if evolutionary theory entailed that various complex adaptations are very improbable, that would neither disconfirm the theory nor support the hypothesis of intelligent design. For either of these conclusions to follow, an additional question must be answered: With respect to the adaptive features that evolutionary theory allegedly says are very improbable, what is their probability of arising if they were produced by intelligent design? This crucial question has not been addressed by the ID movement. (shrink)

Much discussion on the singularity is based on the assumption that the design ability of a human can be transferred into an AI system, then rendered autonomous and self-improving. I argue here that this cannot be foreseen from the current state of the art of automatic or evolutionary design. Assuming that this will happen 'some day' is a doubtful step andmay be in the class of 'searching for the Philosopher's Stone'.

Summary It is usually supposed that biological design arguments are made obsolete by Darwinian evolutionary theory. However, philosopher Alvin Plantinga and others have defended the continued possibility of a rational “design discourse”, in which biological order is taken as a sign of God’s purposeful action. In this article, I consider two objections to design discourse: a theological objection to biological design based on the problem of natural evil, and the evolutionary objection, according to which (...) evolutionary theory removes the justification for any biological design perception. Whereas Plantinga’s own response utilizes the arguments of the Intelligent Design movement, I argue in favor of utilizing “design discourse” as part of a theistic evolutionist view. (shrink)

Within the Cognitive Science of Religion, Justin Barrett has proposed that humans possess a hyperactive agency detection device that was selected for in our evolutionary past because ‘over detecting’ (as opposed to ‘under detecting’) the existence of a predator conferred a survival advantage. Within the Intelligent Design debate, William Dembski has proposed the law of small probability, which states that specified events of small probability do not occur by chance. Within the Fine-Tuning debate, John Leslie has asserted a (...) tidiness principle such that, if we can think of a good explanation for some state of affairs, then an explanation is needed for that state of affairs. In this paper I examine similarities between these three proposals and suggest that they can all be explained with reference to the existence of an explanation attribution module in the human mind. The forgoing analysis is considered with reference to a contrast between classical rationality and what Gerd Gigerenzer and others have called ecological rationality. (shrink)

The explanatory filter is a proposed method to detect design in nature with the aim of refuting Darwinian evolution. The explanatory filter borrows its logical structure from the theory of statistical hypothesis testing but we argue that, when viewed within this context, the filter runs into serious trouble in any interesting biological application. Although the explanatory filter has been extensively criticized from many angles, we present the first rigorous criticism based on the theory of mathematical statistics.