University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Generating, Executing, and Monitoring Plans with Goal-Based Utilities in Continuous Domains

Generating, Executing, and Monitoring Plans with Goal-Based Utilities in Continuous Domains

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Host: Prof. Jeremy Wyatt

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Abstract: Like humans, autonomous agents must operate in continuous physical settings which involve competing objectives that change over time. In this talk I describe PUG , an agent architecture that addresses these issues by combining relational and quantitative descriptions of states, associating numeric utilities to symbolic goals, and using mental simulation to evaluate alternative plans. I also report recent extensions to PUG that interleave plan generation with execution and monitoring. I describe each of these processes, how they interact, and how they lead to plan revision when anomalies arise. In addition, I demonstrate the extended architecture’s behavior in a continuous physical domain, including four classes of scenarios in which unexpected developments lead the agent to revise its plans before continuing execution. In closing, I review work on related topics and discuss avenues for future research.

This talk describes joint work with Dongkyu Choi, Mike Barley, Ben Meadows, and Ed Katz at the University of Kansas, the University of Auckland, and Northeastern University.

Suggested readings:

Langley, P., Barley, M., Meadows, B., Choi, D., & Katz, E. P. (2016). Goals, utilities, and mental simulation in continuous planning. Proceedings of the Fourth Annual Conference on Cognitive Systems. Evanston, IL.

Langley, P., Choi, D., Barley, M., Meadows, B., & Katz, E. P. (2017). Generating, executing, and monitoring plans with goal-based utilities in continuous domains. Proceedings of the Fifth Annual Conference on Cognitive Systems. Troy, NY.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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