Online research in philosophy

The evolutionary study of the mind in the twentieth century has been marked by three self-conscious movements: classical ethology, sociobiology and Evolutionary Psychology (capitalized to indicate that it functions here as a proper name). Classical ethology was established in the years immediately before the Second World War, primarily by Konrad Lorenz and Niko Tinbergen (Burckhardt, 1983). Interrupted by the war, the movement blossomed in the early 1950s, when ethologists established major research institutes in most developed countries and developed a successful sideline in popular science writing. From the outset, ethology sought to apply its methods for the comparative study of animal behavior to human beings, something that was especially prominent in more popular works. Lorenz’s On Aggression (1966a) is perhaps the best known of these works, but several other leading ethologists wrote advocating the application of the new evolutionary science of the mind to problems of international conflict and social unrest.

Psychology is the study of thinking, and cognitive science is the interdisciplinary investigation of mind and intelligence that also includes philosophy, artificial intelligence, neuroscience, linguistics, and anthropology. In these investigations, many philosophical issues arise concerning methods and central concepts. The Handbook of Philosophy of Psychology and Cognitive Science contains 16 essays by leading philosophers of science that illuminate the nature of the theories and explanations used in the investigation of minds. Topics discussed include representation, mechanisms, reduction, perception, consciousness, language, emotions, neuroscience, and evolutionary psychology. Key Features - Comprehensive coverage of philosophy of psychology and cognitive science - Distinguished contributors: leading philosophers in this area - Contributions closely tied to relevant scientific research.

This is a volume of original essays written by philosophers and scientists and dealing with philosophical questions arising from work in evolutionary biology and artificial intelligence. In recent years both of these areas have been the focus for attempts to provide a scientific, model of a wide range of human capacities - most prominently perhaps in sociobiology and cognitive psychology. The book therefore examines a number of issues related to the search for a 'naturalistic' or scientific account of human experience and behaviour. Some of the essays deal with the application of such models to particular behaviour, stressing the problems raised by consciousness, and the information to be derived from the differing capacities of animals and people; others consider more general questions about the logic of the explanations provided by these kinds of approach. The volume continues the informal series stemming from meetings sponsored by the Thyssen Foundation.

Most cognitive scientists nowadays tend to think that at least some of the mind’s capacities are the product of biological evolution, yet important conceptual problems remain for all of them in order to be able to speak coherently of mental or cognitive systems as having evolved naturally. Two of these important problems concern the articulation of adequate, interesting and empirically useful concepts of homology and variation as applied to cognitive systems. However, systems in cognitive science are usually understood as functional systems of some sort. Thus, talking about functional systems’ being homologous requires one’s having a solid, adequate and empirically articulated concept of functional homology—and the same is true of functional variation. Here I construct an original concept of functional homology that, in my view, adequately systematizes a number of the actual uses of the word ‘functional homology’ in a variety of biological disciplines and in ethology. I also propose a number of criteria for the empirical application of the concept that are analogous to the criteria that are actually used in comparative biology, ethology, and (possibly) molecular developmental genetics. Then I construct a concept of functional variation on the basis of this concept of homology.

In the past decades, recent paradigm shifts in ethology, psychology, and the social sciences have given rise to various new disciplines like cognitive ethology and evolutionary psychology. These disciplines use concepts and theories of evolutionary biology to understand and explain the design, function and origin of the brain. I shall argue that there are several good reasons why this approach could also apply to human mathematical abilities. I will review evidence from various disciplines (cognitive ethology, cognitive psychology, cognitive archaeology and neuropsychology) that suggests that the human capacity for mathematics is a category-specific domain of knowledge, hard-wired in the brain, which can be explained as the result of natural selection.

The emotions have been one of the most fertile areas of study in psychology, neuroscience, and other cognitive disciplines. Yet as influential as the work in those fields is, it has not yet made its way to the desks of philosophers who study the nature of mind. Passionate Engines unites the two for the first time, providing both a survey of what emotions can tell us about the mind, and an argument for how work in the cognitive disciplines can help us develop new ways of understanding the mind as a whole. Craig DeLancey shows that our best philosophical and scientific understanding of the emotions provides essential insights on key issues in the philosophy of mind and artificial intelligence: intentionality, aesthetics, rationality, action theory, moral psychology, consciousness, ontology and autonomy. He provides an accessible overview of the science of emotion, explaining with minimal jargon the technical issues that arise. The book also offers new ways to understand the mind, suggesting that it is autonomy--and not cognition--that should be the core problem of the philosophy of mind, cognitive science, and artificial intelligence. DeLancey argues that the philosophy of mind has been held back by an impoverished view of naturalism, and that a proper appreciation of the complexity of the sciences of mind, readily demonstrated by the science of emotion, will overcome this. Passionate Engines provides a unique, contemporary view of the link between science and philosophy, offering a bold new way of looking at the mind for scholars in a range of disciplines. Its accessible and refreshing approach will appeal to philosophers, psychologists, computer scientists, others in the cognitive disciplines, and lay people interested in the mind.

A. M. Turing has bequeathed us a conceptulary including 'Turing, or Turing-Church, thesis', 'Turing machine', 'universal Turing machine', 'Turing test' and 'Turing structures', plus other unnamed achievements. These include a proof that any formal language adequate to express arithmetic contains undecidable formulas, as well as achievements in computer science, artificial intelligence, mathematics, biology, and cognitive science. Here it is argued that these achievements hang together and have prospered well in the 50 years since Turing's death.

Cognitive ethology is the comparative study of animal cognition from an evolutionary perspective. As a sub-discipline of biology it shares interest in questions concerning the immediate causes and development of behavior. As a part of ethology it is also concerned with questions about the function and evolution of behavior. I examine some recent work in cognitive ethology, and I argue that the notions of mental content and representation are important to enable researchers to answer questions and state generalizations about the function and volution of behavior.

Buchanan and Darden have provided compelling reasons why philosophers of science concerned with the nature of scientific discovery should be aware of current work in artificial intelligence. This paper contends that artificial intelligence is even more than a source of useful analogies for the philosophy of discovery: the two fields are linked by interfield connections between philosophy of science and cognitive psychology and between cognitive psychology and artificial intelligence. Because the philosophy of discovery must pay attention to the psychology of practicing scientists, and because current cognitive psychology adopts a computational view of mind with AI providing the richest models of how the mind works, the philosophy of discovery must also concern itself with AI models of mental operations. The relevance of the artificial intelligence notion of a frame to the philosophy of discovery is briefly discussed.