Publication: Using MUDs as an Experimental Platform for testing a Decision making System for Self-Motivated Autonomous Agents
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2010-04
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The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
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Abstract
In this paper a decision making system for autonomous and social agents who live in a virtual world is presented. This world was built using a text based multi-user game: a MUD (Multi User Domain). In this world the agents can interact with one other, allowing social interaction, as well as interaction with the other objects present in the world. In this paper, the usefulness of using this kind of text based multi-user games as test beds for designing decision making systems of artificial agents, is proved. The proposed decision making system is composed of several subsystems: a mo-tivational system, a drives system and an evaluation and behaviour selection system. The selection of behaviours is learned by the agent using reinforcement learning al-gorithms. The dominant motivation is considered as the inner state of the agent. In order to simplify the learning process, the states related to the objects are considered as independent from one another. The state of the agent is a combination between his inner state and his state in relation with the rest of agents and objects. This system uses happiness and sadness, defined as positive and negative variations of the wellbeing of the agent, as the reinforcement function.
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Multi User Domain, Artificial agents, Autonomous agents, Decision-making, Virtual agent, Social agent.
Bibliographic citation
AISB Journal (2010). 2(1), 21-44.