Temporal Planning with Preferences and Probabilities

Abstract

In an uncertain world, a rational planning agent must simultaneously reason with uncertainty about expected outcomes of actions and preferences for those outcomes. This work focuses on systematically exploring the interactions between preferences for the durations of events, and uncertainty, expressed as probability distributions about when certain events will occur. We expand previous work by introducing a means for representing events and durations that are not under the control of the planner, as well as quantitative beliefs about when those events are likely to occur. Two reasoning problems are introduced and methods for solving them proposed. First, given a desired overall preference level, compute the likelihood that a plan exists that meets or exceeds the specified degree of preference. Second, given an initial set of beliefs about durations of events, and preferences for times, infer a revised set of preferences that reflect those beliefs.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA454821

Entities

People

  • Lina Khatib
  • Neil Yorke-smith
  • Paul Morris
  • Robert Morris

Tags

Communities of Interest

  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Complexity
  • Computational Science
  • Consistency
  • Data Science
  • Decision Theory
  • Earth Sciences
  • Fires
  • Information Science
  • Intelligent Agents
  • Observation
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Standards

Readers

  • Regression Analysis.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference