Online research in philosophy

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.

The current state of knowledge in psychology, cognitive neuroscience and behavioral ecology allows a fairly robust characterization of at least some, so-called ?basic emotions? - short-lived emotional responses with homologues in other vertebrates. Philosophers, however are understandably more focused on the complex emotion episodes that figure in folk-psychological narratives about mental life, episodes such as the evolving jealousy and anger of a person in an unraveling sexual relationship. One of the most pressing issues for the philosophy of emotion is the relationship between basic emotions and these complex emotion episodes. In this paper, I add to the list of existing, not necessarily incompatible, proposals concerning the relationship between basic emotions and complex emotions. I analyze the writings of ?transactional? psychologists of emotion, particularly those who see their work as a contribution to behavioral ecology, and offer a view of the basic emotion that focuses as much on their interpersonal functions as on their intrapersonal functions. Locating basic emotions and their evolutionary development in a context of processes of social interaction, I suggest, provides a way to integrate our knowledge of basic emotions into an understanding of the larger emotional episodes that have more obvious implications for philosophical disciplines such as moral psychology.

The current state of knowledge in psychology, cognitive neuroscience and behavioral ecology allows a fairly robust characterization of at least some, so-called ‘basic emotions’ - short-lived emotional responses with homologues in other vertebrates. Philosophers, however are understandably more focused on the complex emotion episodes that figure in folk-psychological narratives about mental life, episodes such as the evolving jealousy and anger of a person in an unraveling sexual relationship. One of the most pressing issues for the philosophy of emotion is the relationship between basic emotions and these complex emotion episodes. In this paper, I add to the list of existing, not necessarily incompatible, proposals concerning the relationship between basic emotions and complex emotions. I analyze the writings of ‘transactional’ psychologists of emotion, particularly those who see their work as a contribution to behavioral ecology, and offer a view of the basic emotion that focuses as much on their interpersonal functions as on their intrapersonal functions. Locating basic emotions and their evolutionary development in a context of processes of social interaction, I suggest, provides a way to integrate our knowledge of basic emotions into an understanding of the larger emotional episodes that have more obvious implications for philosophical disciplines such as moral psychology.

John Haugeland's Mind design and Mind design II are organized around the idea that the fundamental idea of cognitive science is that, “intelligent beings are semantic engines — in other words, automatic formal systems with interpretations under which they consistently make sense”. The goal of artificial intelligence research, or the problem of “mind design” as Haugeland calls it, is to develop computers that are in fact semantic engines. This paper canvasses the changes in artificial intelligence research reflected in the different selections of essays found in each volume. While Mind design II is a worthy successor to Mind design, there are some notable developments in artificial intelligence which suggest that seemingly intelligent behavior need not be guided by semantic engines at all.

he design-based approach is a methodology for investigating mechanisms capable of generating mental phenomena, whether introspectively or externally observed, and whether they occur in humans, other animals or robots. The study of designs satisfying requirements for autonomous agency can provide new deep theoretical insights at the information processing level of description of mental mechanisms. Designs for working systems (whether on paper or implemented on computers) can systematically explicate old explanatory concepts and generate new concepts that allow new and richer interpretations of human phenomena. To illustrate this, some aspects of human grief are analysed in terms of a particular information processing architecture being explored in our research group. We do not claim that this architecture is part of the causal structure of the human mind; rather, it represents an early stage in the iterative search for a deeper and more general architecture, capable of explaining more phenomena. However even the current early design provides an interpretative ground for some familiar phenomena, including characteristic features of certain emotional episodes, particularly the phenomenon of perturbance (a partial or total loss of control of attention). The paper attempts to expound and illustrate the design-based approach to cognitive science and philosophy, to demonstrate the potential effectiveness of the approach in generating interpretative possibilities, and to provide first steps towards an information processing account of `perturbant', emotional episodes.

Donald Gustafson has argued that grief centres on a combination of belief and desire: The belief that the subject has suffered an irreparable loss. The desire that this should not be the case. And yet, as Gustafson points out, if the belief is true, the desire cannot be satisfied. Gustafson takes this to show that grief inevitably implies an irrational conflict between belief and desire. I offer a partial defence of grief against Gustafson's charge of irrationality. My defence rests on two elements. First, I offer an alternative model of emotion, which presents emotions as complex episodes, initiated by emotional appraisals. Secondly, I appeal to John Bowlby's account of grief to argue that grief involves two forms of sadness (anguish and desolation) which Gustafson's analysis runs together. I concede that anguish does characteristically involve an element of irrationality. But the irrationality of anguish does not arise from an apparently gratuitous clash between belief and desire, but from a conflict between emotion and belief—a form of irrationality that is both familiar and easily explained. Moreover, desolation need not involve any irrationality.