Reasons-responsive accounts of praiseworthiness say, roughly, that an agent is praiseworthy for an action just in case the reasons that explain why they acted are also the reasons that explain why the action is right. In this paper, we argue that reasons-responsive accounts imply that some actions of non-human animals are praiseworthy. Trying to exclude non-human animals, we argue, risks neglecting cases of inadvertent virtue in human action and undermining the anti-intellectualist commitments that are typically associated with reasons-responsive accounts. Of (...) course, this could be taken as a reason to reject reasons-responsive accounts, rather than as a reason to attribute praiseworthiness to non-human animal action. We respond to two reasons that one might resist the implication that non-human animal action can be praiseworthy. The first appeals to intuition: it’s too counterintuitive to attribute praiseworthiness to non-human animal action. In response, we argue that once the factors that determine an action’s praiseworthiness are disambiguated from the factors that determine whether an agent should be praised, the intuitive objection loses much of its force. The second appeals to empirical evidence: attributing praiseworthiness to non-human animal action involves a problematic kind of anthropomorphizing. First, we point out that this objection is mostly an _a priori_ objection in _a posteriori_ clothes: whether we give anthropomorphic vs. anthropectic explanations is a methodological choice, not an empirical one. Second, we argue that considerations from the literature on rational analysis and radical interpretation actually support anthropomorphic explanations over anthropectic explanations. (shrink)

By the late 1990s, several converging trends in economics, psychology, and neuroscience had set the stage for the birth of a new scientific field known as “neuroeconomics”. Without the availability of an extensive variety of experimental designs for dealing with individual and social decision-making provided by experimental economics and psychology, many neuroeconomics studies could not have been developed. At the same time, without the significant progress made in neuroscience for grasping and understanding brain functioning, neuroeconomics would have never seen the (...) light of day. The paper is an overview of the main significant advances in the knowledge of brain functioning by neuroscience that have contributed to the emergence of neuroeconomics and its rise over the past two decades. These advances are grouped over three non-independent topics referred to as the “emo-rational” brain, “social” brain, and “computational” brain. For each topic, it emphasizes findings considered as critical to the birth and development of neuroeconomics while highlighting some of prominent questions about which knowledge should be improved by future research. In parallel, it shows that the boundaries between neuroeconomics and several recent sub-fields of cognitive neuroscience, such as affective, social, and more generally, decision neuroscience, are rather porous. (shrink)

The objective of this paper is to characterize the rich interplay between automatic and cognitive control processes that we propose is the hallmark of skill, in contrast to habit, and what accounts for its flexibility. We argue that this interplay isn't entirely hierarchical and static, but rather heterarchical and dynamic. We further argue that it crucially depends on the acquisition of detailed and well-structured action representations and internal models, as well as the concomitant development of metacontrol processes that can be (...) used to shape and balance it. (shrink)

This paper applies the theoretical criteria laid out by D’Arms et al. to various aspects of evolutionary models of signalling. The question that D’Arms et al. seek to answer can be formulated as follows: Are the models that we use to explain the phenomena in question conceptually adequate? The conceptual adequacy question relates the formal aspects of the model to those aspects of the natural world that the model is supposed to capture. Moreover, this paper extends the analysis of D’Arms (...) et al. by asking the following additional question: Are the models that we use sufficient to explain the phenomena in question? The sufficiency question asks what formal resources are minimally required for the model to get the right results most of the time. (shrink)

I introduce an extension of the Lewis-Skyrms signaling game, analysed from a dynamical perspective via simple reinforcement learning. In Lewis’ (Convention, Blackwell, Oxford, 1969) conception of a signaling game, salience is offered as an explanation for how individuals may come to agree upon a linguistic convention. Skyrms (Signals: evolution, learning & information, Oxford University Press, Oxford, 2010a) offers a dynamic explanation of how signaling conventions might arise presupposing no salience whatsoever. The extension of the atomic signaling game examined here—which I (...) will refer to as a salience game—introduces a variable parameter into the atomic signaling game which allows for degrees of salience, thus filling in the continuum between Skyrms’ and Lewis’ models. The model does not presuppose any salience at the outset, but illustrates a process by which accidentally evolved salience is amplified, to the benefit of the players. It is shown that increasing degrees of salience allow populations to avoid sub-optimal pooling equilibria and to coordinate upon conventions more quickly. (shrink)

This is a piece written for interdisciplinary audiences and contains very little philosophy. It looks into whether, or in what sense, pains and pleasures are emotions.

In this essay I intentionally employ Nietzsche's genealogical method as a means to critique the complex concept of ‘good’ teaching, and at the same time reconstitute ‘good’ teaching in a form that is radically different from contemporary accounts. In order to do this, I start out by undertaking a genealogical analysis to both reveal the complicated historical development of ‘good’ teaching and also disentangle the intertwining threads that remain hidden from us so we are aware of the core threads that (...) hold it together. Two major threads are identified in my analysis, which I refer to as: Genealogy I: Teaching as applied science or practice; and, Genealogy II: Teaching as a vocational calling or neutral profession. With this in mind, I take the two value systems presented in my critique of ‘good’ teaching, and rather than return to old, or create new values, I argue that the true task of any educational endeavour is to make human beings human. Therefore, in the spirit of Nietzsche, I revive and extend Nietzsche's account of Bildung as a dynamic way of living timeless educational aims, such as learning to see, think, speak, write and feel in becoming true human beings. (shrink)

We examine the claim that the methodology of psychology leads to a bias in animal cognition research against attributing “anthropomorphic” properties to animals . This charge is examined in light of a debate on the role of folk psychology between primatologists who emphasize similarities between humans and other apes, and those who emphasize differences. We argue that while in practice there is sometimes bias, either in the formulation of the null hypothesis or in the preference of Type-II errors over Type-I (...) errors, the bias is not the result of proper use of the Neyman and Pearson hypothesis testing method. Psychologists’ preference for false negatives over false positives cannot justify a preference for avoiding anthropomorphic errors over anthropectic errors. (shrink)

Extrinsic motivations like intellectual property protections and fiscal incentives continue to occupy the centre stage in debates on innovation policies. Joseph Schumpeter had, however, argued that the motive to accumulate private property can only explain part of innovative activities. In his view, “the joy of creating, of getting things done” associated with the behavioural traits that “seek out difficulties…and takes delight in ventures” stand out as the most independent factor of behaviour in explaining innovation and economic development, especially in early (...) capitalist societies. Taking the case of ‘grassroot’ innovators in India, we re-examine the motivations behind innovative behaviour. Drawing upon the theory of effectance motivation we construct operational indicators of extrinsic and intrinsic motivations to innovate. Interestingly, we find that pure extrinsic forms of motivation drive only a fraction of individual innovative behaviour. A large amount of innovative behaviour is motivated either by intrinsic motivations or by a combination of intrinsic and extrinsic motivations. Also, conceptualising innovation as a three stage process involving idea generation, experimentation and application, we find evidence of motivation-shifts. The importance of intrinsic motivation is comparatively greater during the early stage, when uncertainty about innovation is high. The importance of extrinsic motivation, on the other hand, increases when innovation is complete, awaiting application. We then outline a few implications of these findings for policy making. (shrink)

Responses are strengthened by consequences having to do with the survival of individuals and species. With respect to the provenance of behavior, we know more about ontogenic than phylogenic contingencies. The contingencies responsible for unlearned behavior acted long ago. This remoteness affects our scientific methods, both experimental and conceptual. Until we have identified he variables responsible for an event, we tend to invent causes. Explanatory entities such as “instincts,” “drives,” and “traits” still survive. Unable to show how organisms can behave (...) effectively under complex circumstances, we endow them with special abilities permitting them to do so.Behavior exhibited by most members of a species is often accepted as inherited if all members were not likely to have been exposed to relevant ontogenic contingencies. When contingencies are not obvious, it is perhaps unwise to call any behavior either inherited or acquired, as the examples of churring in honey guides and following in imprinted ducklings show. Nor can the relative importance of phylogenic and ontogenic contingencies be argued from instances in which unlearned or learned behavior intrudes or dominates. Intrusions occur in both directions.Behavior influenced by its consequences seems directed toward the future, but only past effects are relevant. The mere fact that behavior is adaptive does not indicate whether phylogenic or ontogenic processes have been responsible for it. Examples include the several possible provenances of imitation, aggression, and communication. The generality of such concepts limits their usefulness. A more specific analysis is needed if we are to deal effectively with the two kinds of contingencies and their products. (shrink)

Human behavior is the joint product of (i) contingencies of survival responsible for natural selection, and (ii) contingencies of reinforcement responsible for the repertoires of individuals, including (iii) the special contingencies maintained by an evolved social environment. Selection by consequences is a causal mode found only in living things, or in machines made by living things. It was first recognized in natural selection: Reproduction, a first consequence, led to the evolution of cells, organs, and organisms reproducing themselves under increasingly diverse (...) conditions. The behavior functioned well, however, only under conditions similar to those under which it was selected.Reproduction under a wider range of consequences became possible with the evolution of processes through which organisms acquired behavior appropriate to novel environments. One of these, operant conditioning, is a second kind of selection by consequences: New responses could be strengthened by events which followed them. When the selecting consequences are the same, operant conditioning and natural selection work together redundantly. But because a species which quickly acquires behavior appropriate to an environment has less need for an innate repertoire, operant conditioning could replace as well as supplement the natural selection of behavior.Social behavior is within easy range of natural selection, because other members are one of the most stable features of the environment of a species. The human species presumably became more social when its vocal musculature came under operant control. Verbal behavior greatly increased the importance of a third kind of selection by consequences, the evolution of social environments or cultures. The effect on the group, and not the reinforcing consequences for individual members, is responsible for the evolution of culture. (shrink)

Contrary to his own perspective, Rachlin introduces a ghostly inner cost to explain the persistence of behavioral patterns and agency to explain their origins. Both inconsistencies can be set straight by taking account of history and a context larger than the pattern itself. Persistence is explained by stimulus control, if one assumes that defection from a pattern has stimulus properties and is punished. The origins of patterns are understood as an outcome of selection in the larger context of cultural or (...) biological evolution. (shrink)

Transcendence, defined as the capacity to perceive the immediate stimulus environment in relation to long-range or abstract concerns, is a key aspect of self-control, and indeed self-regulation often breaks down because attention becomes focused exclusively on the immediate stimuli (i.e., transcendence fails). Factors that restrict attention to the here and now will weaken self-control, whereas factors that promote transcendence will enhance it. Guilt may be one example of the latter.

Rachlin's attack on the internal commitment model rests on the demonstrably false claim that self-punishment does not exist. He is correct that habits are an effective device for solving self-control problems, but his additional claim that they are the only such device makes it hard to explain how good habits develop in the first place. Someone with a self-control problem would always choose the spuriously attractive reward, which, over time, would create bad habits.

Regarding Rachlin's behavioral act/pattern theory of self-control, it is argued that some cases of self-control involve pattern/ pattern conflicts rather than merely act/pattern conflicts and that some patterns must be viewed as internal representational states of mind (plans) rather than merely as patterns of actual overt behavior.

Self-control, so important in the theory and practice of psychology, has usually been understood introspectively. This target article adopts a behavioral view of the self (as an abstract class of behavioral actions) and of self-control (as an abstract behavioral pattern dominating a particular act) according to which the development of self-control is a molar/molecular conflict in the development of behavioral patterns. This subsumes the more typical view of self-control as a now/later conflict in which an act of self-control is a (...) choice of a larger but later reinforcer over a smaller but sooner reinforcer. If at some future time the smaller-sooner reinforcer will be more valuable than the larger-later reinforcer, self-control may be achieved through a commitment to the largerlater reinforcer prior to that point. According to some, there is a progressive internalization of commitment in the development of self-control. This presents theoretical and empirical problems. In two experiments temporal patterning of choices increased self-control. (shrink)

Neuroeconomics is the newest of the economic sciences with a focus on how the embodied human brain interacts with its institutional and social environment to make economic decisions. This paper presents an overview of neuroeconomics methods and reviews a number of results in this emerging field of study.

This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with a combination of localist (...) and distributed representation. We compare the model with human data in a minefield navigation task, demonstrating some match between the model and human data in several respects. (shrink)

Science requires postformal capabilities to compare competing explanations and conceptualize how to coordinate or integrate them. With conflicts thus reconciled, science advances. The Model of Hierarchical Complexity facilitates the coordination of current arguments about intelligence. A cross-species measurement theory of comparative cognition is proposed. It has potential to overcome the lack of a general measurement theory for the science of comparative cognition, and the lack of domain-general mechanisms for evolutionary psychologists. The hierarchical complexity of concepts and debates as well as (...) the new theory are scored, and demonstrate the postformal hierarchical complexity of the proposed theory. (shrink)

The 20 sup > th /sup > century has been a tumultuous time in psychology -- a century in which the discipline struggled with basic questions about its intellectual identity, but nonetheless managed to achieve spectacular growth and maturation. It’s not surprising, then, that psychology has attracted sustained philosophical attention and stimulated rich philosophical debate. Some of this debate was aimed at understanding, and sometimes criticizing, the assumptions, concepts and explanatory strategies prevailing in the psychology of the time. But much (...) philosophical work has also been devoted to exploring the implications of psychological findings and theories for broader philosophical questions like: Are humans really rational animals? How malleable is human nature? and Do we have any innate knowledge or innate ideas? One particularly noteworthy fact about philosophy of psychology in the 20 sup > th /sup > century is that, in the last quarter of the century, the distinction between psychology and the philosophy of psychology began to dissolve as philosophers played an increasingly active role in articulating and testing empirical theories about the mind and psychologists became increasingly interested in the philosophical underpinnings and implications of their work. Our survey is divided into five sections, each focusing on an important theme in 20 sup > th /sup > century psychology which has been the focus of philosophical attention and has benefited from philosophical scrutiny. (shrink)

I analyze the frame problem and its relation to other epistemological problems for artificial intelligence, such as the problem of induction, the qualification problem and the "general" AI problem. I dispute the claim that extensions to logic (default logic and circumscriptive logic) will ever offer a viable way out of the problem. In the discussion it will become clear that the original frame problem is really a fairy tale: as originally presented, and as tools for its solution are circumscribed by (...) Pat Hayes, the problem is entertaining, but incapable of resolution. The solution to the frame problem becomes available, and even apparent, when we remove artificial restrictions on its treatment and understand the interrelation between the frame problem and the many other problems for artificial epistemology. I present the solution to the frame problem: an adequate theory and method for the machine induction of causal structure. Whereas this solution is clearly satisfactory in principle, and in practice real progress has been made in recent years in its application, its ultimate implementation is in prospect only for future generations of AI researchers. (shrink)

Are we paying enough attention? At least since the nineteenth century, critics have alleged a widespread and profound failure of attentiveness—to others, to ourselves, to the world around us, to what is truly worthy of focus. Why is there such great anxiety over attention? What is at stake in understanding attention and the challenges it faces? This book investigates attention from a range of disciplinary perspectives, including philosophy, history, anthropology, art history, and comparative literature. Each chapter begins with a concrete (...) scene whose protagonists are trying—and often failing—to attend. Authors examine key moments in the history of the study of attention; pose attention as a philosophical problem; explore the links between attention, culture, and technology; and consider the significance of attention for conceptualizations of human subjectivity. Readers encounter nineteenth-century experiments in boredom, ornithologists conveying sound through field notations, wearable attention-enhancing prosthetics, students using online learning platforms, and inquiries into attention as a cognitive state and moral virtue. Amid mounting concern about digital mediation of experience, the rise of “surveillance capitalism,” and the commodification of attention, Scenes of Attention deepens the thinking that is needed to protect the freedom of attention and the forms of life that make it possible. (shrink)

Artificial Intelligence is making rapid and remarkable progress in the development of more sophisticated and powerful systems. However, the acknowledgement of several problems with modern machine learning approaches has prompted a shift in AI benchmarking away from task-oriented testing towards ability-oriented testing, in which AI systems are tested on their capacity to solve certain kinds of novel problems. The Animal-AI Environment is one such benchmark which aims to apply the ability-oriented testing used in comparative psychology to AI systems. Here, we (...) present the first direct human-AI comparison in the Animal-AI Environment, using children aged 6–10. We found that children of all ages were significantly better than a sample of 30 AIs across most of the tests we examined, as well as performing significantly better than the two top-scoring AIs, “ironbar” and “Trrrrr,” from the Animal-AI Olympics Competition 2019. While children and AIs performed similarly on basic navigational tasks, AIs performed significantly worse in more complex cognitive tests, including detour tasks, spatial elimination tasks, and object permanence tasks, indicating that AIs lack several cognitive abilities that children aged 6–10 possess. Both children and AIs performed poorly on tool-use tasks, suggesting that these tests are challenging for both biological and non-biological machines. (shrink)

A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...) world; themedium, or the representation's physical instantiation; and thedynamics, or how the system changes with time. In part because of the behaviorist assumption that the hypothetical, covert changes occurring in an organism during learning correspond to the overt physical changes that are observed, issues of representation in animal behavior have been largely ignored as irrelevant or misleading. However, it can be inferred that representations, acting as models of environmental regularities, operate at many levels of behavioral functioning, both cognitive and noncognitive. Objections to the use of this concept in explanations of animal behavior, based on the claim that it is indeterminate and on behaviorist considerations of parsimony, can be answered. Animal representations may be specialized in terms of tasks and species. Data from tasks involving spatial memory, delayed matching-to-sample, and sequence learning suggest some foundations for a general theory of animal representations. (shrink)