Artificial minds
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
A Foundational Architecture for Artificial General Intelligence
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
Universal induction with varying sets of combinators
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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Every agent aspiring to human level intelligence, every AGI agent, must be capable of a theory of mind. That is, it must be able to attribute mental states, including intentions, to other agents, and must use such attributions in its action selection process. The LIDA conceptual and computational model of cognition offers an explanation of how theory of mind is accomplished in humans and some other animals, and suggests how this explanation could be implemented computationally. Here we describe how the LIDA version of theory of mind is accomplished, and illustrate it with an example taken from an experiment with monkeys, chosen for simplicity.