AIMar 20, 2013

Time-Dependent Utility and Action Under Uncertainty

arXiv:1303.5722v1105 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of decision-making under uncertainty for agents with limited computational resources, but it appears incremental as it builds on existing concepts without introducing a new paradigm.

The paper tackles the problem of representing and reasoning with time-dependent utility in agents' actions under bounded resources, presenting a semantics for such utility and illustrating its application in time-pressured reasoning with examples from the Protos system.

We discuss representing and reasoning with knowledge about the time-dependent utility of an agent's actions. Time-dependent utility plays a crucial role in the interaction between computation and action under bounded resources. We present a semantics for time-dependent utility and describe the use of time-dependent information in decision contexts. We illustrate our discussion with examples of time-pressured reasoning in Protos, a system constructed to explore the ideal control of inference by reasoners with limit abilities.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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