Keywords

Unified cognitive architecture, Mobile robot, Human-level performance, Integration of theories, Soar system

Abstract

We are implementing a unified cognitive architecture for a mobile robot. Our goal is to endow a robot agent with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to solve complex problems. The perspective of this work is that an architecture based on a unified theory of robot cognition has the best chance of attaining human-level performance.

This agent architecture is an integration of three theories: a theory of cognition embodied in the Soar system, the RS formal model of sensorimotor activity and an algebraic theory of decomposition and reformulation.

These three theories share a hierarchical structure that is the basis of their integration. These three component theories have been implemented and tested separately and their integration is currently underway. This paper describes these components and the overall architecture

Original Publication Citation

D. Paul Benjamin, Damian Lyons, and Deryle Lonsdale (2004). Integrating Perception, Language and Problem Solving in a Cognitive Agent for a Mobile Robot. Proceedings of theInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp.1308-1309.

Document Type

Conference Paper

Publication Date

2004

Publisher

Autonomous Agents and Multiagent Systems

Language

English

College

Humanities

Department

Linguistics and English Language

University Standing at Time of Publication

Associate Professor

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