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
Journal of Experimental & Theoretical Artificial Intelligence
The structure of perceptual categories
Journal of Mathematical Psychology
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Symbol grounding and the symbolic theft hypothesis
Simulating the evolution of language
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This article, using a counter as an example, explores a novel approach in constructing a cognitive system. The system is a paired memory system of ''left and right brain'' consisting of a number of memory units. The ''left brain'' is dedicated to the cognitive process of symbols, and the ''right brain'' to the representation of the symbols. The left and right subsystems are connected by bundles of internal communication signals. The paired memory system can learn facts and generalize concepts. Its cognitive capability is realized through the communication among these memory units at different cognitive levels within the system. The key claims in this paper are supported by empirical findings and theoretical principles. An AI counter is built and demonstrated in terms of concept learning and responding.