An Integrated Self-Aware Cognitive Architecture
Abstract
The result of our BICA Phase I research effort is the specification of a computational cognitive architecture that is capable of human-like cognition, learning and social behavior in a wide range of real-world situations and paradigms set in virtual environments. Our architecture focuses on the higher-level cognitive processes involved in human cognition and is designed to be integrated into a larger end-to-end architecture that includes lower level sensing and action. The main feature of our architecture is the notion of self aware cognition that we believe is necessary for human-like cognitive growth. Our approach is inspired by studies of the human brain-mind: in particular, by theoretical models of representations of agency in the higher associative human brain areas. This feature (a theory of mind including representations of one's self) allows the system to maintain human-like attention, focus on the most relevant features and aspects of a situation, and come up with ideas and initiatives that may not follow from formal logic. The result is a robust cognitive system capable of significant cognitive growth.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2008
- Accession Number
- ADA480166
Entities
People
- Alexei V. Samsonovich
- Giorgio A. Ascoli
- Kenneth A. Dejong
Organizations
- George Mason University