The society of mind
The emergence of understanding in a computer model of concepts analogy-making
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Tabletop: an emergent, stochastic computer model of analogy-making
Tabletop: an emergent, stochastic computer model of analogy-making
Analogy-making as perception: a computer model
Analogy-making as perception: a computer model
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Letter spirit (part one): emergent high-level perception of letters using fluid concepts
Letter spirit (part one): emergent high-level perception of letters using fluid concepts
A glimpse at the metaphysics of Bongard problems
Artificial Intelligence
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Chess and Machine Intuition
Godel, Escher, Bach: An Eternal Golden Braid
Godel, Escher, Bach: An Eternal Golden Braid
Metacat: a self-watching cognitive architecture for analogy-making and high-level perception
Metacat: a self-watching cognitive architecture for analogy-making and high-level perception
Letter spirit (part two): modeling creativity in a visual domain
Letter spirit (part two): modeling creativity in a visual domain
Explaining the ineffable: AI on the topics of intuition, insight and inspiration
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Cognitive Systems Research
Linear gate assignment: a fast statistical mechanics approach
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Expertise and Intuition: A Tale of Three Theories
Minds and Machines
The emergence of choice: Decision-making and strategic thinking through analogies
Information Sciences: an International Journal
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The well-known game of chess has traditionally been modeled in artificial intelligence studies by search engines with advanced pruning techniques. The models were thus centered on an inference engine manipulating passive symbols in the form of tokens. It is beyond doubt, however, that human players do not carry out such processes. Instead, chess masters instead carry out perceptual processes, carefully categorizing the chunks perceived in a position and gradually building complex dynamic structures to represent the subtle pressures embedded in the positions. In this paper we will consider two hypotheses concerning the underlying subcognitive processes and architecture. In the first hypothesis, a multiple-leveled chess representational structure is presented, which includes distance graphs (with varying levels of quality) between pieces, piece mobilities, and abstract roles. These representational schemes seem to account for numerous characteristics of human player's psychology. The second hypothesis concerns the extension of the architecture proposed in the Copycat project as central for modeling the emergent intuitive perception of a chess position. We provide a synthesis on how the postulated architecture models chess intuition as an emergent mixture of simultaneous distance estimations, chunk perceptions, abstract role awareness, and intention activations. This is an alternative model to the traditional AI approaches, focusing on the philosophy of active symbols.