Patrick Grim

Philosophical modeling has a long and distinguished history, but the computer offers new and powerful prospects for the creation and manipulation of models. It seems inevitable that the computer will become a major tool in future philosophical research. Here I offer an overview of explorations in philosophical computer modeling that we in the Group for Logic and Formal Semantics at SUNY Stony Brook have undertaken: explorations regarding (1) the potential emergence of cooperation in a society of egoists, (2) self‐reference and paradox in fuzzy logic, (3) a fractal approach to formal systems, and (4) on‐going explorations with models for the emergence of communication. The attempt is not to give a detailed report on any of these but to give a bird s‐eye view of them all, emphasizing the general form that the models take, the philosophical motivations behind them, and the kinds of philosophical results that they may have to offer.

Debates concerning the nature of mind and consciousness are active and ongoing, with implications for philosophy, psychology, artificial intelligence and the neurosciences. This book collects interviews with some of the foremost philosophers of mind, focusing on open questions, promising projects, and their own intellectual histories. The result is a rich glimpse of the contemporary debate through some of the people who make it what it is. Interviews with Lynne Rudder Baker, David Chalmers, Daniel Dennett, Fred Dretske, Owen Flanagan, Samuel Guttenplan, Valerie Gray Hardcastle, John Heil, Terence Horgan, Douglas Hofstadter, Frank Jackson, Jaegwon Kim, William Lycan, Alva No , Hilary Putnam, David Rosenthal, John Searle, Steven Stich, Galen Strawson, Michael Tye.

The goal of philosophy of information is to understand what information is, how it operates, and how to put it to work. But unlike ‘information’ in the technical sense of information theory, what we are interested in is meaningful information. To understand the nature and dynamics of information in this sense we have to understand meaning. What we offer here are simple computational models that show emergence of meaning and information transfer in randomized arrays of neural nets. These we take to be formal instantiations of a tradition of theories of meaning as use. What they offer, we propose, is a glimpse into the origin and dynamics of at least simple forms of meaning and information transfer as properties inherent in behavioral coordination across a community

We extend previous work by modeling evolution of communication using a spatialized genetic algorithm which recombines strategies purely locally. Here cellular automata are used as a spatialized environment in which individuals gain points by capturing drifting food items and are 'harmed' if they fail to hide from migrating predators. Our individuals are capable of making one of two arbitrary sounds, heard only locally by their immediate neighbors. They can respond to sounds from their neighbors by opening their mouths or by hiding. By opening their mouths in the presence of food they maximize gains; by hiding when a predator is present they minimize losses. We consider the result a 'natural' template for benefits from communication; unlike a range of other studies, it is here only the recipient of communicated information that immediately benefits.

This book both introduces the philosophy of science through examination of the occult and examines the occult rigorously enough to raise central issues in the philosophy of science. Placed in the context of the occult, philosophy of science issues become immediately understandable and forcefully compelling. Divergent views on astrology, parapsychology, and quantum mechanics mysticism emphasize topics standard to the philosophy of science. Such issues as confirmation and selection for testing, causality and time, explanation and the nature of scientific laws, the status of theoretical entities, the problem of demarcation, theory and observation, and science and values are discussed. Significantly revised, this second edition presents an entirely new section of quantum mechanics and mysticism including instructions from N. David Mermin for constructing a device which dramatically illustrates the genuinely puzzling phenomena of quantum mechanics. A more complete and current review of research on astrology has been included in this new edition, and the section on the problem of demarcation has been broadened

A version of this paper was presented at the IEEE International Conference on Computational Intelligence, combined meeting of ICNN, FUZZ-IEEE, and ICEC, Orlando, June-July, 1994, and an earlier form of the result is to appear as "The Undecidability of the Spatialized Prisoner's Dilemma" in Theory and Decision . An interactive form of the paper, in which figures are called up as evolving arrays of cellular automata, is available on DOS disk as Research Report #94-04i . An expanded version appears as chapter 6 of The Philosophical Computer.

'Post-critical,' as Echeverria rightly notes, "is one of those catchy, yet slippery phrases which seem to crop up in so many places that they take on a power of their own." But for the purposes of this study, at least, he manages to circumscribe the topic with remarkable clarity: "... the traditional meaning of a critique of knowledge excluded reflection on one's own historical context as an essential trait of philosophical theories, and relegated that context to psychology. 'Post-critical' philosophy wants to reinstate that historical context as one that must itself necessarily be included in the very idea of theory or, as the case may be, of philosophical criticism."

John Abbruzzese has recently attempted a defense of omniscience against a series of my attacks. This affords me a welcome occasion to clarify some of the arguments, to pursue some neglected subtleties, and to re-think some important complications. In the end, however, I must insist that at least three of four crucial arguments really do show an omniscient being to be impossible. Abbruzzese sometimes misunderstands the forms of the argument themselves, and quite generally misunderstands their force.

The goal of philosophy of information is to understand what information is, how it operates, and how to put it to work. But unlike ‘information’ in the technical sense of information theory, what we are interested in is meaningful information. To understand the nature and dynamics of information in this sense we have to understand meaning. What we offer here are simple computational models that show emergence of meaning and information transfer in randomized arrays of neural nets. These we take to be formal instantiations of a tradition of theories of meaning as use. What they offer, we propose, is a glimpse into the origin and dynamics of at least simple forms of meaning and information transfer as properties inherent in behavioral coordination across a community.

Eliseo Vivas's intellectual life started at the political left and within the tradition of American naturalism, and has ended up somewhere to the political right and with some form of anti-naturalism. Vivas also started "with a great deal of cocksure confidence about his knowledge of the ills of society and the nature of the universe" and ended up recognizing that "he knew very little besides the fact that he did not know, because genuine knowledge about these matters does not exist". This book, written in the form of a biography of one Alonzo Quijano, is an intimate intellectual memoir of the changes in political attitude and philosophical conviction that went between. A flirtation with communism in the thirties and various political squabbles within academia are presented as stages on life's way, and serve as background for freely rambling discussions of naturalism, liberalism, the origin of man, ethical and aesthetic values, ultimate mysteries, and the nature and limits of philosophy.

Most current modeling for evolution of communication still underplays or ignores the role of local action in spatialized environments: the fact that it is immediate neighbors with which one tends to communicate, and from whom one learns strategies or conventions of communication. Only now are the lessons of spatialization being learned in a related field: game-theoretic models for cooperation. In work on altruism, on the other hand, the role of spatial organization has long been recognized under the term ‘viscosity’.Here we offer some simple simulations that dramatize the importance of spatialization for studies of both cooperation and communication, in each case contrasting a model dynamics in which strategy change proceeds globally, and a spatialized model dynamics in which interaction and strategy change both operate purely locally. Local action in a spatialized model clearly favors the emergence of cooperation. In the case of communication, spatialized models allow communication to arise and flourish where the global dynamics more typical in the literature make it impossible.Simulations make a dramatic case for spatialized modeling, but analysis proves difficult. In a final section we outline some of the surprises of spatial dynamics but also some of the complexity facing attempts at deeper analysis.

‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure.