SOAR: an architecture for general intelligence
Artificial Intelligence
Exploiting a sensed environment to improve human-agent communication
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A robotic architecture with innate releasing mechanism
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
| Hi-index | 0.00 |
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.