The Embodiment of a DUAL/AMBR Based Cognitive Model in the RASCALLI Multi-agent Platform

The current paper explores some of the cognitive abilities of an embodied agent based on the DUAL/AMBR architecture. The model has been extended with several capabilities like continuous operation and learning based on encoding of episodes and general knowledge. A new mechanism of analogical transfer has been implemented and demonstrated on a simulated interaction with a user. A focus of interest discussed throughout the paper is how a cognitive model can be embodied in a virtual environment and what are the benefits of combining soft cognitive capabilites with hard AI based platform. The latter is based on a Mind-Body-Environment metaphor which positions the cognitive agent in a situation similar to the one of a robot in a real environment. In the paper, results from simulations of simple interactions with a hypothetical user are presented and the internal cognitive mechanisms are discussed.