This volume is a collection of fourteen essays by leading philosophers on issues concerning the nature, existence, and our knowledge of animal minds. The nature of animal minds has been a topic of interest to philosophers since the origins of philosophy, and recent years have seen significant philosophical engagement with the subject. However, there is no volume that represents the current state of play in this important and growing field. The purpose of this volume is to highlight the state of (...) the debate. The issues which are covered include whether and to what degree animals think in a language or in iconic structures, possess concepts, are conscious, self-aware, metacognize, attribute states of mind to others, and have emotions, as well as issues pertaining to our knowledge of and the scientific standards for attributing mental states to animals. (shrink)

While 4E cognitive science is fundamentally committed to recognising the importance of the environment in making sense of cognition, its interest in the role of artefacts seems to be one of its least developed dimensions. Yet the role of artefacts in human cognition and agency is central to the sorts of beings we are. Internet technology is influencing and being incorporated into a wide variety of our cognitive processes. Yet the dominant way of viewing these changes sees technology as an (...) outside force “impacting” on our minds. Within this context, Material Engagement Theory seems well poised to help make sense of our cognitive involvement with the Internet as MET is precisely concerned with grasping the role of material culture in human cognition. This paper explores some of the resources MET provides to think through the effects the internet is having on human agency. This paper uses MET as a starting point for examining the way Internet technology can be involved with human agency, both to the provide a much needed and more adequate theorization of these phenomena, but also to illustrate ways in which the consideration of artefacts can be given a more central and adequate place within the 4E cognitive sciences. (shrink)

This paper examines the role of mathematical idealization in describing and explaining various features of the world. It examines two cases: first, briefly, the modeling of shock formation using the idealization of the continuum. Second, and in more detail, the breaking of droplets from the points of view of both analytic fluid mechanics and molecular dynamical simulations at the nano-level. It argues that the continuum idealizations are explanatorily ineliminable and that a full understanding of certain physical phenomena cannot be obtained (...) through completely detailed, non-idealized representations. (shrink)

We present a toy theory that is based on a simple principle: the number of questions about the physical state of a system that are answered must always be equal to the number that are unanswered in a state of maximal knowledge. Many quantum phenomena are found to have analogues within this toy theory. These include the noncommutativity of measurements, interference, the multiplicity of convex decompositions of a mixed state, the impossibility of discriminating nonorthogonal states, the impossibility of a universal (...) state inverter, the distinction between bipartite and tripartite entanglement, the monogamy of pure entanglement, no cloning, no broadcasting, remote steering, teleportation, entanglement swapping, dense coding, mutually unbiased bases, and many others. The diversity and quality of these analogies is taken as evidence for the view that quantum states are states of incomplete knowledge rather than states of reality. A consideration of the phenomena that the toy theory fails to reproduce, notably, violations of Bell inequalities and the existence of a Kochen-Specker theorem, provides clues for how to proceed with this research program. (shrink)

Recently, information retrieval is shown to be a science by mapping information retrieval scientific study to scientific study abstracted from physics. The exercise was rather tedious and lengthy. Instead of dealing with the nitty gritty, this paper looks at the insights into how computer science can be made into a science by using that methodology. That is by mapping computer science scientific study to the scientific study abstracted from physics. To show the mapping between computer science and physics, we need (...) to define what is engineering science which computer science belongs to. Some principles and assumptions of engineering science theory are presented. To show computer science is a science, we presented two approaches. Approach 1 considers computer science as simulation of human behaviour similar to the goal of artificial intelligence. Approach 2 is closely related to the actual activities in computer science, and this approach considers computer science based on the theory of computation. Finally, we answer some of the common outstanding issues about computer science to convince our reader that computer science is a science. (shrink)

I respond to Belot's argument and defend the view that sometimes `fundamental theories' are explanatorily inadequate and need to be supplemented with certain aspects of less fundamental `theories emeritus'.

Among discrete emotions, basic emotions are the most elemental; most distinct; most continuous across species, time, and place; and most intimately related to survival-critical functions. For an emotion to be afforded basic emotion status it must meet criteria of: (a) distinctness (primarily in behavioral and physiological characteristics), (b) hard-wiredness (circuitry built into the nervous system), and (c) functionality (provides a generalized solution to a particular survival-relevant challenge or opportunity). A set of six emotions that most clearly meet these criteria (enjoyment, (...) anger, disgust, fear, surprise, sadness) and three additional emotions (relief/contentment, interest, love) for which the evidence is not yet quite as strong is described. Empirical approaches that are most and least useful for establishing basic-emotion status are discussed. Basic emotions are thought to have a central organizing mechanism and to have the capacity to influence behavior, thoughts, and other fundamental processes. (shrink)

This article discusses minimal model explanations, which we argue are distinct from various causal, mechanical, difference-making, and so on, strategies prominent in the philosophical literature. We contend that what accounts for the explanatory power of these models is not that they have certain features in common with real systems. Rather, the models are explanatory because of a story about why a class of systems will all display the same large-scale behavior because the details that distinguish them are irrelevant. This story (...) explains patterns across extremely diverse systems and shows how minimal models can be used to understand real systems. (shrink)

This research study sought to identify whether there is a relationship between ethical perceptions and culture. An examination of the cultural variables suggests that there is a relationship between two of Hofstede's cultural dimensions (i.e., Uncertainty Avoidance and Individualism) and ethical perceptions. This finding supports the hypothetical linkage between the cultural environment and the perceived ethical problem variables posited in Hunt and Vitell's General Theory of Marketing Ethics (1986).

Autonomy -- Hydrodynamics -- Brownian motion -- From Brownian motion to bending beams -- An engineering approach -- The right variables and natural kinds.

But do animals know that other creatures have minds? And how would we know if they do? In "Mindreading Animals," Robert Lurz offers a fresh approach to the hotly debated question of mental-state attribution in nonhuman animals.

Discussions of the foundations of Classical Equilibrium Statistical Mechanics (SM) typically focus on the problem of justifying the use of a certain probability measure (the microcanonical measure) to compute average values of certain functions. One would like to be able to explain why the equilibrium behavior of a wide variety of distinct systems (different sorts of molecules interacting with different potentials) can be described by the same averaging procedure. A standard approach is to appeal to ergodic theory to justify this (...) choice of measure. A different approach, eschewing ergodicity, was initiated by A. I. Khinchin. Both explanatory programs have been subjected to severe criticisms. This paper argues that the Khinchin type program deserves further attention in light of relatively recent results in understanding the physics of universal behavior. (shrink)

This paper examines contemporary attempts to explicate the explanatory role of mathematics in the physical sciences. Most such approaches involve developing so-called mapping accounts of the relationships between the physical world and mathematical structures. The paper argues that the use of idealizations in physical theorizing poses serious difficulties for such mapping accounts. A new approach to the applicability of mathematics is proposed.

This paper addresses a relatively common scientific (as opposed to philosophical) conception of intertheoretic reduction between physical theories. This is the sense of reduction in which one (typically newer and more refined) theory is said to reduce to another (typically older and coarser) theory in the limit as some small parameter tends to zero. Three examples of such reductions are discussed: First, the reduction of Special Relativity (SR) to Newtonian Mechanics (NM) as (v/c)20; second, the reduction of wave optics to (...) geometrical optics as 0; and third, the reduction of Quantum Mechanics (QM) to Classical Mechanics (CM) as0. I argue for the following two claims. First, the case of SR reducing to NM is an instance of a genuine reductive relationship while the latter two cases are not. The reason for this concerns the nature of the limiting relationships between the theory pairs. In the SR/NM case, it is possible to consider SR as a regular perturbation of NM; whereas in the cases of wave and geometrical optics and QM/CM, the perturbation problem is singular. The second claim I wish to support is that as a result of the singular nature of the limits between these theory pairs, it is reasonable to maintain that third theories exist describing the asymptotic limiting domains. In the optics case, such a theory has been called catastrophe optics. In the QM/CM case, it is semiclassical mechanics. Aspects of both theories are discussed in some detail. (shrink)

The study of insight in problem solving and creative thinking has seen an upsurge of interest in the last 30 years. Current theorising concerning insight has taken one of two tacks. The special-process view, which grew out of the Gestalt psychologists’ theorising about insight, proposes that insight is the result of a dedicated set of processes that is activated by the individual's reaching impasse while trying to deal with a problematic situation. In contrast, the business-as-usual view argues that insight is (...) brought about by the same processes that underlie ordinary thinking . Although those two views are typically treated as being in opposition, it has recently been proposed that a complete understanding of insight will require bringing together aspects of both views. The present paper carries that proposal further. Critical analysis of those two viewpoints demonstrates that each has a positive contribution to make to our understanding of insight, but also is.. (shrink)

Bayesian confirmation theory is a leading theory to decide the confirmation/refutation of a hypothesis based on probability calculus. While it may be much discussed in philosophy of science, is it actually practiced in terms of hypothesis testing by scientists? Since the assignment of some of the probabilities in the theory is open to debate and the risk of making the wrong decision is unknown, many scientists do not use the theory in hypothesis testing. Instead, they use alternative statistical tests that (...) can measure the risk or the reliability in decision making, circumventing some of the theoretical problems in practice. Therefore, the theory is not very popular in hypothesis testing among scientists at present. However, there are some proponents of Bayesian hypothesis testing, and software packages are made available to accelerate utilization by scientists. Time will tell whether Bayesian confirmation theory can become both a leading theory and a widely practiced method. In addition, this theory can be used to model the belief of scientists when testing hypotheses. (shrink)

Mesoscale modeling is often considered merely as a practical strategy used when information on lower-scale details is lacking, or when there is a need to make models cognitively or computationally tractable. Without dismissing the importance of practical constraints for modeling choices, we argue that mesoscale models should not just be considered as abbreviations or placeholders for more “complete” models. Because many systems exhibit different behaviors at various spatial and temporal scales, bottom-up approaches are almost always doomed to fail. Mesoscale models (...) capture aspects of multi-scale systems that cannot be parameterized by simple averaging of lower-scale details. To understand the behavior of multi-scale systems, it is essential to identify mesoscale parameters that “code for” lower-scale details in a way that relate phenomena intermediate between microscopic and macroscopic features. We illustrate this point using examples of modeling of multi-scale systems in materials science and biology, where identification of material parameters such as stiffness or strain is a central step. The examples illustrate important aspects of a so-called “middle-out” modeling strategy. Rather than attempting to model the system bottom-up, one starts at intermediate scales where systems exhibit behaviors distinct from those at the atomic and continuum scales. One then seeks to upscale and downscale to gain a more complete understanding of the multi-scale system. The cases highlight how parameterization of lower-scale details not only enables tractable modeling but is also central to understanding functional and organizational features of multi-scale systems. (shrink)

In this introductory paper, we assess the current status of blindsight -- the phenomenon in which patients with damage to their primary visual cortex retain the ability to detect, discriminate and localize visual stimuli presented in areas of their visual field in which they report that they are subjectively blind. Blindsight has garnered a great deal of interest and critical research, in part because of its important implications for the philosophy of mind. We briefly consider why this is so, and (...) then go on to examine three empirical questions which have fuelled challenges to the validity of blindsight as a distinct neuropsychological phenomenon. First, is blindsight simply degraded normal vision? Second, does blindsight depend on undamaged areas of primary visual cortex? Third, does evidence that blindsight patients are aware of moving stimuli undermine the apparent dissociation between access to visual information and visual experience in blindsight? In the course of the review we introduce the four other papers on blindsight in this issue. We conclude that, although patients with primary visual cortex damage may indeed perceive moving stimuli, there is still good evidence for a dissociation between access to information and phenomenal experience which cannot be accounted for in terms of degraded normal vision or undamaged primary visual cortex. (shrink)

In recent years a growing number of democratic theorists have proposed ways to increase citizen engagement, while channeling those democratic energies in positive directions and away from systematic marginalization, exclusion and intolerance. One novel answer is provided by a strain of democratic theory known as agonistic pluralism, which valorizes adversarial engagement and recognizes the marginalizing tendencies implicit in drives to consensus and stability. However, the divergences between competing variants of agonistic pluralism remain largely underdeveloped or unrecognized. In this article, I (...) address this shortcoming, examining these strains of agonism around the constraints placed upon democratic discourse. I argue that the ‘associative agonism’ of theorists such as Bonnie Honig and William Connolly offers the best means for cultivating virtues necessary to revitalize a contentious democratic politics which also fosters receptivity to pluralism and difference. (shrink)

ABSTRACTPeople high in negative affect tend to think negative events are more likely than positive events. Studies have found that weak attentional control exaggerates another...

In many evolutionary/functionalist theories, emotions organize the activity of the autonomic nervous system and other physiological systems. Two kinds of patterned activity are discussed: coherence, and specificity. For each kind of patterning, significant methodological obstacles are considered that need to be overcome before empirical studies can adequately test theories and resolve controversies. Finally, links that coherence and specificity have with health and well-being are considered.

This paper posits that organizational variables are the factors that lead to the moral decline of companies like Enron and Worldcom. The individuals involved created environments within the organizations that precipitated a spiral of unethical decision-making. It is proposed that at the executive level, it is the organizational factors associated with power and decision-making that have the critical influence on moral and ethical behavior. The study has used variables that were deemed to be surrogate measures of the ethical violations (OSHA (...) and EPA violations), the risky shift phenomenon (executive team size), banality of wrong-doing (reputation score for firms) and escalating commitment (tenure with the firm/change in revenue for declining firms). The research found that there were small correlations between ethical violations and the three organizational variables. (shrink)

Our aim is to discover whether the notion of algorithmic orbit-complexity can serve to define “chaos” in a dynamical system. We begin with a mostly expository discussion of algorithmic complexity and certain results of Brudno, Pesin, and Ruelle (BRP theorems) which relate the degree of exponential instability of a dynamical system to the average algorithmic complexity of its orbits. When one speaks of predicting the behavior of a dynamical system, one usually has in mind one or more variables in the (...) phase space that are of particular interest. To say that the system is unpredictable is, roughly, to say that one cannot feasibly determine future values of these variables from an approximation of the initial conditions of the system. We introduce the notions of restrictedexponential instability and conditionalorbit-complexity, and announce a new and rather general result, similar in spirit to the BRP theorems, establishing average conditional orbit-complexity as a lower bound for the degree of restricted exponential instability in a dynamical system. The BRP theorems require the phase space to be compact and metrizable. We construct a noncompact kicked rotor dynamical system of physical interest, and show that the relationship between orbit-complexity and exponential instability fails to hold for this system. We conclude that orbit-complexity cannot serve as a general definition of “chaos.”. (shrink)

A persistent methodological problem in primate social cognition research has been how to determine experimentally whether primates represent the internal goals of other agents or just the external goals of their actions. This is an instance of Daniel Povinelli’s more general challenge that no experimental protocol currently used in the field is capable of distinguishing genuine mindreading animals from their complementary behavior-reading counterparts. We argue that current methods used to test for internal-goal attribution in primates do not solve Povinelli’s problem. (...) To overcome the problem, a new type of experimental approach is needed, one which is supported by an alternative theoretical account of animal mindreading, called the appearance-reality mindreading (ARM) theory. We provide an outline of the ARM theory and show how it can be used to design a novel way to test for internal-goal attribution in chimpanzees. Unlike protocols currently in use, the experimental design presented here has the power, in principle and in practice, to distinguish genuine mindreading chimpanzees from those who predict others’ behavior solely on the basis of behavioral/environmental cues. Our solution to Povinelli’s problem has important consequences for a similar debate in developmental psychology over when preverbal infants should be credited with the ability to attribute internal goals. If what we argue for here in the case of nonhuman primates is sound, then the clearest tests for internal-goal attribution in infants will be those that test for attributions of discrepant or ‘false’ perceptions. (shrink)

From the ferment of recent debates about the intellectual virtues, Roberts and Wood develop an approach they call 'regulative epistemology', exploring the connection between knowledge and intellectual virtue. In the course of their argument they analyse particular virtues of intellectual life - such as courage, generosity, and humility - in detail.

A traditional view of mathematical modeling holds, roughly, that the more details of the phenomenon being modeled that are represented in the model, the better the model is. This paper argues that often times this ‘details is better’ approach is misguided. One ought, in certain circumstances, to search for an exactly solvable minimal model—one which is, essentially, a caricature of the physics of the phenomenon in question.

This article attempts to address the problem of the applicability of mathematics in physics by considering the (narrower) question of what make the so-called special functions of mathematical physics special. It surveys a number of answers to this question and argues that neither simple pragmatic answers, nor purely mathematical classificatory schemes are sufficient. What is required is some connection between the world and the way investigators are forced to represent the world.

This paper seeks to identify, clarify, and perhaps rehabilitate the virtual reality metaphor as applied to the goal of understanding consciousness. Some proponents of the metaphor apply it in a way that implies a representational view of experience of a particular, extreme form that is indirect, internal and inactive (what we call “presentational virtualism”). In opposition to this is an application of the metaphor that eschews representation, instead preferring to view experience as direct, external and enactive (“enactive virtualism”). This paper (...) seeks to examine some of the strengths and weaknesses of these virtuality-based positions in order to assist the development of a related, but independent view of experience: virtualist representationalism. Like presentational virtualism, this third view is representational, but like enactive virtualism, it places action centre-stage, and does not require, in accounting for the richness of visual experience, global representational “snapshots” corresponding to the entire visual field to be tokened at any one time. (shrink)

According to Enactivism, cognition should be understood in terms of a dynamic interaction between an acting organism and its environment. Further, this view holds that organisms do not passively receive information from this environment, they rather selectively create this environment by engaging in interaction with the world. Radical Enactivism adds that basic cognition does so without entertaining representations and hence that representations are not an essential constituent of cognition. Some proponents think that getting rid of representations amounts to a revolutionary (...) alternative to standard views about cognition. To emphasize the impact, they claim that this ‘radicalization’ should be applied to all enactivist friendly views, including, another current and potentially revolutionary approach to cognition: predictive processing. In this paper, we will show that this is not the case. After introducing the problem, we will argue that ‘radicalizing’ predictive processing does not add any value to this approach. After this, we will analyze whether or not radical Enactivism can count as a revolution within cognitive science at all and conclude that it cannot. Finally, in section 5 we will claim that cognitive science is better off when embracing heterogeneity. (shrink)