Biologically Inspired Cognitive Architecture for Socially Competent Agents

Alexei V Samsonovich

The challenge addressed here is to design a hybrid cognitive architecture that will possess the minimal Core Cognitive Competency (CCC) sufficient for the cognitive and social growth of an agent up to the human level of intelligence, based on autonomous learning. The approach is based on the integration of high-level symbolic (schema-based) and connectionist components at the top representational level, as described previously. The present work specifically addresses the mechanisms of perception, voluntary action and social communication based on the given formalism of schemas. Social competency appears to be vital for CCC.

Subjects: 4. Cognitive Modeling; 2. Architectures

Submitted: May 16, 2006


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