TitleGoal-Driven Autonomy in a Navy Strategy Simulation
Publication TypeConference Proceedings
Year of Conference2010
AuthorsMolineaux, M, Klenk, M, Aha, DW
Conference NameProceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence
Date Published07/2010
PublisherAAAI Press
Conference LocationAtlanta, GA

Modern complex games and simulations pose many challenges for an intelligent agent, including partial observability, continuous time and effects, hostile opponents, and exogenous events. We present ARTUE (Autonomous Response to Unexpected Events), a domain-independent autonomous agent that dynamically reasons about what goals to pursue in response to unexpected circumstances in these types of environments. ARTUE integrates AI research in planning, environment monitoring, explanation, goal generation, and goal management. To explain our conceptualization of the problem ARTUE addresses, we present a new conceptual framework, goal-driven autonomy, for agents that reason about their goals. We evaluate ARTUE on scenarios in the TAO Sandbox, a Navy training simulation, and demonstrate its novel architecture, which includes components for Hierarchical Task Network planning, explanation, and goal management. Our evaluation shows that ARTUE can perform well in a complex environment and that each component is necessary and contributes to the performance of the integrated system.

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Goal reasoning
goal-driven autonomy
Navy simulation