"Political Ideas in the Twentieth Century", Historical Inevitability", "Two Concepts of Liberty", "John Stuart Mill and the Ends of Life". These four essays deal with the various aspects of individual liberty, including the distinction between positive and negative liberty and the necessity of rejecting determinism if we wish to keep hold of the notions of human responsibility and freedom.

Paul Thagard uses new accounts of brain mechanisms and social interactions to forge theories of mind, knowledge, reality, morality, justice, meaning, and the arts. Natural Philosophy brings new methods for analyzing concepts, understanding values, and achieving coherence. It shows how to unify the humanities with the cognitive and social sciences.

It has been argued that some animals are moral subjects, that is, beings who are capable of behaving on the basis of moral motivations. In this paper, we do not challenge this claim. Instead, we presuppose its plausibility in order to explore what ethical consequences follow from it. Using the capabilities approach, we argue that beings who are moral subjects are entitled to enjoy positive opportunities for the flourishing of their moral capabilities, and that the thwarting of these capabilities entails (...) a harm that cannot be fully explained in terms of hedonistic welfare. We explore the implications of this idea for the assessment of current practices involving animals. (shrink)

Book reviewed in this article: Principles of Biomedical Ethics. By Tom L. Beauchamp and James F. Childress.

Empirical studies of the social lives of non-human primates, cetaceans, and other social animals have prompted scientists and philosophers to debate the question of whether morality and moral cognition exists in non-human animals. Some researchers have argued that morality does exist in several animal species, others that these species may possess various evolutionary building blocks or precursors to morality, but not quite the genuine article, while some have argued that nothing remotely resembling morality can be found in any non-human species. (...) However, these different positions on animal morality generally appear to be motivated more by different conceptions of how the term “morality” is to be defined than by empirical disagreements about animal social behaviour and psychology. After delving deeper into the goals and methodologies of various of the protagonists, I argue that, despite appearances, there are actually two importantly distinct debates over animal morality going on, corresponding to two quite different ways of thinking about what it is to define “morality”, “moral cognition”, and associated notions. Several apparent skirmishes in the literature are thus cases of researchers simply talking past each other. I then focus on what I take to be the core debate over animal morality, which is concerned with understanding the nature and phylogenetic distribution of morality conceived as a psychological natural kind. I argue that this debate is in fact largely terminological and non-substantive. Finally, I reflect on how this core debate might best be re-framed. (shrink)

We sketch the mechanistic approach to levels, contrast it with other senses of “level,” and explore some of its metaphysical implications. This perspective allows us to articulate what it means for things to be at different levels, to distinguish mechanistic levels from realization relations, and to describe the structure of multilevel explanations, the evidence by which they are evaluated, and the scientific unity that results from them. This approach is not intended to solve all metaphysical problems surrounding physicalism. Yet it (...) provides a framework for thinking about how the macroscopic phenomena of our world are or might be related to its most fundamental entities and activities. (shrink)

It is commonly accepted that the golden rule—most often formulated as "do unto others as you would have them do unto you"—is a unifying element between many diverse religious traditions, both Eastern and Western. Its influence also extends beyond such traditions, since many non-religious individuals hold up the golden rule as central to their lives. Yet, while it is extraordinarily important and widespread, the golden rule is often dismissed by scholars as a vague proverb that quickly leads to absurdities when (...) one attempts to formulate it in clear terms. In this book, Harry J. Gensler defends the golden rule and addresses all of the major philosophic objections, pointing out several common misunderstanding and misapplications. Gensler first discusses golden-rule reasoning and how to avoid the main pitfalls. He then relates the golden rule to world religions and history, and to areas like moral education, egoism, evolution, society, racism, business, and medicine. The book ends with a discussion of theoretical issues . Ethics and the Golden Rule offers two introductory chapters, the first is simpler and the second more technical; a reader may start with either or both. One can then read any combination of further chapters, in any order, depending on one’s interests; but Chapters 13 and 14 are technical and assume one has read Chapter 2. This is "a golden-rule book for everyone," accessible to a wide readership. (shrink)

Studies of the conceptual abilities of nonhuman primates demonstrate the substantial range of these abilities as well as their limitations. Such abilities range from categorization on the basis of shared physical attributes, associative relations and functions to abstract concepts as reflected in analogical reasoning about relations between relations. The pattern of results from these studies point to a fundamental distinction between monkeys and apes in both their implicit and explicit conceptual capacities. Monkeys, but not apes, might be best regarded as (...) “paleo‐logicans” in the sense that they form common class concepts of identity on the basis of identical predicates (i.e., shared features). The discrimination of presumably more abstract relations commonly involves relatively simple procedural strategies mediated by associative processes likely shared by all mammals. There is no evidence that monkeys can perceive, let alone judge, relations‐between‐relations. This analogical conceptual capacity is found only in chimpanzees and humans. Interestingly, the “analogical ape,” like the child, can make its analogical knowledge explicit only if it is first provided with a symbol system by which propositional representations can be encoded and manipulated. (shrink)

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...) the internal representations which develop thus reflect task demands in the context of prior internal states. A set of simulations is reported which range from relatively simple problems (temporal version of XOR) to discovering syntactic/semantic features for words. The networks are able to learn interesting internal representations which incorporate task demands with memory demands: indeed, in this approach the notion of memory is inextricably bound up with task processing. These representations reveal a rich structure, which allows them to be highly context‐dependent, while also expressing generalizations across classes of items. These representations suggest a method for representing lexical categories and the type/token distinction. (shrink)

We examine the question of which aspects of language are uniquely human and uniquely linguistic in light of recent suggestions by Hauser, Chomsky, and Fitch that the only such aspect is syntactic recursion, the rest of language being either specific to humans but not to language (e.g. words and concepts) or not specific to humans (e.g. speech perception). We find the hypothesis problematic. It ignores the many aspects of grammar that are not recursive, such as phonology, morphology, case, agreement, and (...) many properties of words. It is inconsistent with the anatomy and neural control of the human vocal tract. And it is weakened by experiments suggesting that speech perception cannot be reduced to primate audition, that word learning cannot be reduced to fact learning, and that at least one gene involved in speech and language was evolutionarily selected in the human lineage but is not specific to recursion. The recursion-only claim, we suggest, is motivated by Chomsky’s recent approach to syntax, the Minimalist Program, which de-emphasizes the same aspects of language. The approach, however, is sufficiently problematic that it cannot be used to support claims about evolution. We contest related arguments that language is not an adaptation, namely that it is “perfect,” non-redundant, unusable in any partial form, and badly designed for.. (shrink)

Scientists from various disciplines have begun to focus attention on the psychology and biology of human morality. One research program that has recently gained attention is universal moral grammar (UMG). UMG seeks to describe the nature and origin of moral knowledge by using concepts and models similar to those used in Chomsky's program in linguistics. This approach is thought to provide a fruitful perspective from which to investigate moral competence from computational, ontogenetic, behavioral, physiological and phylogenetic perspectives. In this article, (...) I outline a framework for UMG and describe some of the evidence that supports it. I also propose a novel computational analysis of moral intuitions and argue that future research on this topic should draw more directly on legal theory. (shrink)

A young scientist and mathematician explores the mystery and complexity of human thought processes from an interdisciplinary point of view.

The reconciliation of theories of concepts based on prototypes, exemplars, and theory-like structures is a longstanding problem in cognitive science. In response to this problem, researchers have recently tended to adopt either hybrid theories that combine various kinds of representational structure, or eliminative theories that replace concepts with a more finely grained taxonomy of mental representations. In this paper, we describe an alternative approach involving a single class of mental representations called “semantic pointers.” Semantic pointers are symbol-like representations that result (...) from the compression and recursive binding of perceptual, lexical, and motor representations, effectively integrating traditional connectionist and symbolic approaches. We present a computational model using semantic pointers that replicates experimental data from categorization studies involving each prior paradigm. We argue that a framework involving semantic pointers can provide a unified account of conceptual phenomena, and we compare our framework to existing alternatives in accounting for the scope, content, recursive combination, and neural implementation of concepts. (shrink)

First published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.

"This is a wonderful book! In "How Scientists Explain Disease," Paul Thagard offers us a delightful essay combining science, its history, philosophy, and sociology.

While neuroscientists garner success in identifying brain regions and in analyzing individual neurons, ground is still being broken at the intermediate scale of understanding how neurons combine to encode information. This book proposes a method of representing information in a computer that would be suited for modeling the brain's methods of processing information. Holographic Reduced Representations (HRRs) are introduced here to model how the brain distributes each piece of information among thousands of neurons. It had been previously thought that the (...) grammatical structure of a language cannot be encoded practically in a distributed representation, but HRRs can overcome the problems of earlier proposals. Thus this work has implications for psychology, neuroscience, linguistics, and computer science, and engineering. (shrink)

The thesis of this paper is that certain nonhuman animals could be conceived of as capable of moral motivation and subsequent moral behavior, with the appropriate behavioral, psychological and cognitive evidence. I argue that a certain notion of morality—morality as the process of conscious, reasoned deliberation over explicit moral concepts—is excessively exclusionary, and that such a notion describes one mode of moral cognition, but not, as others have argued, morality's essence. Instead, morality and moral behaviors could be viewed as natural (...) phenomena that arose as a means by which social species could better cohere and survive, and one that consists of a spectrum of behaviors. Ultimately, I argue that the aforementioned notion of moral cognition has unfairly worked to exclude (certain) nonhuman animals from the sphere of morality as beings capable of moral behavior, and that instead we should be looking at moral behavior as a function of what I call ‘moral responsiveness.'. (shrink)

The study of human intelligence was once dominated by symbolic approaches, but over the last 30 years an alternative approach has arisen. Symbols and processes that operate on them are often seen today as approximate characterizations of the emergent consequences of sub- or nonsymbolic processes, and a wide range of constructs in cognitive science can be understood as emergents. These include representational constructs (units, structures, rules), architectural constructs (central executive, declarative memory), and developmental processes and outcomes (stages, sensitive periods, neurocognitive (...) modules, developmental disorders). The greatest achievements of human cognition may be largely emergent phenomena. It remains a challenge for the future to learn more about how these greatest achievements arise and to emulate them in artificial systems. (shrink)