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  1. Altruism and selfishness.Howard Rachlin - 2002 - Behavioral and Brain Sciences 25 (2):239-250.
    Many situations in human life present choices between (a) narrowly preferred particular alternatives and (b) narrowly less preferred (or aversive) particular alternatives that nevertheless form part of highly preferred abstract behavioral patterns. Such alternatives characterize problems of self-control. For example, at any given moment, a person may accept alcoholic drinks yet also prefer being sober to being drunk over the next few days. Other situations present choices between (a) alternatives beneficial to an individual and (b) alternatives that are less beneficial (...)
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  • Toward a better understanding of prosocial behavior: The role of evolution and directed attention.Stephen Kaplan & Raymond De Young - 2002 - Behavioral and Brain Sciences 25 (2):263-264.
    Rachlin's thought-provoking analysis could be strengthened by greater openness to evolutionary interpretation and the use of the directed attention concept as a component of self-control. His contribution to the understanding of prosocial behavior would also benefit from abandoning the traditional (and excessively restrictive) definition of altruism.
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  • Location, location, location: The importance of spatialization in modeling cooperation and communication.Patrick Grim, Stephanie Wardach & Vincent Beltrani - 2006 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 7 (1):43-78.
    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 (...)
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  • Information and Meaning: Use-Based Models in Arrays of Neural Nets.Patrick Grim, Paul St Denis & Trina Kokalis - 2004 - Minds and Machines 14 (1):43-66.
    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 (...)
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  • Boom and Bust: Environmental Variability Favors the Emergence of Communication.Patrick Grim & Trina Kokalis - 2004 - In Jordan Pollack, Mark Bedau, Phil Husbands, Takashi Ikegami & Richard A. Watson (eds.), Artificial Life IX: Proceedings of the Ninth International Conference on Artificial Life. MIT Press. pp. 164-170.
    Environmental variability has been proposed as an important mechanism in behavioral psychology, in ecology and evolution, and in cultural anthropology. Here we demonstrate its importance in simulational studies as well. In earlier work we have shown the emergence of communication in a spatialized environment of wandering food sources and predators, using a variety of mechanisms for strategy change: imitation (Grim, Kokalis, Tafti & Kilb 2000), localized genetic algorithm (Grim, Kokalis, Tafti & Kilb 2001), and partial training of neural nets on (...)
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  • Making Meaning Happen.Patrick Grim - 2004 - Journal for Experimental and Theoretical Artificial Intelligence 16:209-244.
    What is it for a sound or gesture to have a meaning, and how does it come to have one? In this paper, a range of simulations are used to extend the tradition of theories of meaning as use. The authors work throughout with large spatialized arrays of sessile individuals in an environment of wandering food sources and predators. Individuals gain points by feeding and lose points when they are hit by a predator and are not hiding. They can also (...)
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  • Computer simulation: A new scientific approach to the study of language evolution.Angelo Cangelosi & Domenico Parisi - 2002 - In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 3--28.
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