A Non-von-Neumann Computational Architecture Based on in Situ Representations: Integrating Cognitive Grounding, Productivity and Dynamics
Human cognition may be unique in the way it combines cognitive grounding, productivity (compositionality) and dynamics. This combination imposes constraints on the underlying computational architecture. These constraints are not met in the von-Neumann computational architecture underlying forms of symbol manipulation. The constraints are met in a computational architecture based on ‘in situ’ grounded representations, consisting of (distributed) neuronal assembly structures. To achieve productivity, the in situ grounded representations are embedded in (several) neuronal ‘blackboard’ architectures, each specialized for processing specific forms of (compositional) cognitive structures, such as visual structures (objects, scenes), propositional (linguistic) structures and procedural (action) sequences. The architectures interact by the neuronal assemblies (in situ representations) they share. This interaction provides a combination of local and global information processing that is fundamentally lacking in symbolic architectures of cognition. Further advantages are briefly discussed.
KeywordsGrounding In situ representations Neuronal assemblies Non-von Neumann architecture Productivity
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- 1.Fodor, J.A., Pylyshyn, Z.W.: Cognition 28, 3–71 (1988)Google Scholar
- 2.Newell, A.: Unified Theories of Cognition. Harvard University Press (1990)Google Scholar
- 3.Barsalou, L.W.: Behavioral and Brain Sciences 22, 577–660 (1999)Google Scholar
- 4.Roy, D.: Trends in Cognitive Sciences 9, 389–395 (2005)Google Scholar
- 7.van der Velde, F., de Kamps, M.: Neural blackboard architectures of combinatorial structures in cognition. Behavioral and Brain Sciences 29, 37–70 (2006)Google Scholar
- 8.van der Velde, F.: Where Artificial Intelligence and Neuroscience Meet:The Search for Grounded Architectures of Cognition. Advances in Artificial Intelligence, 1–18 (2010), doi:10.1155/2010/918062Google Scholar
- 9.Harris, Z.S.: Mathematical structures of language. Wiley (1968)Google Scholar
- 10.Goldberg, A.E.: Constructions. Chicago University Press (1995)Google Scholar