Conforth, Matthew, and Yan Meng. “CHARISMA: A Context Hierarchy-based cognitive architecture for self-motivated social agents.” In The 2011 International Joint Conference on Neural Networks , pp. 1894-1901. IEEE, 2011.
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In this paper, we are developing the CIVS (Civilization-Inspired Vying Societies) system, which is a novel evolutionary learning multi-agent system loosely inspired by the history of human civilization. The main objective of the CIVS system is to develop a bottom-up artificial-life approach to produce artificial agents that are inherently social in how they think, learn, adapt, and operate, so as to be more adaptable and generally intelligent in a complex, challenging environment. To this end, the CHARISMA (Context Hierarchy-based Adaptive Reasoning Self-Motivated Agent) cognitive architecture is proposed for the agents within the CIVS system. By using intrinsic motivations and dynamic knowledge representation, the CHARISMA cognitive architecture can provide autonomous mental development capability for the agent to develop its knowledge and skills through its own interactions within a dynamic challenging environment as well as social interactions with other agents.