The logical foundations of goal-regression planning in autonomous agents

DOI10.1016/S0004-3702(98)00100-3zbMath0910.68198OpenAlexW2162839994MaRDI QIDQ1277699

John L. Pollock

Publication date: 2 March 1999

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(98)00100-3

zbMATH Keywords

planningautonomous agentsdefeasible reasoningOSCARgoal regression

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) General topics in the theory of software (68N01) General topics in artificial intelligence (68T01)

Related Items (8)

Planning with regression analysis in transaction logic ⋮ Using arguments for making and explaining decisions ⋮ Argumentation through a distributed self-stabilizing approach ⋮ Paracoherent Answer Set Semantics meets Argumentation Frameworks ⋮ SCC-recursiveness: a general schema for argumentation semantics ⋮ Defeasible reasoning with variable degrees of justification ⋮ A new algebraic modelling approach to distributed problem-solving in MAS ⋮ Plans and decisions

Uses Software

• Graphplan
• UCPOP

Cites Work

• Planning for conjunctive goals
• Nonmonotonic logic and temporal projection
• Partial-order planning: Evaluating possible efficiency gains
• Fast planning through planning graph analysis
• Complexity, decidability and undecidability results for domain-independent planning
• Approximate planning
• STRIPS: A new approach to the application of theorem proving to problem solving
• Analysis on the p-adic superspace. I. Generalized functions: Gaussian distribution
• Reasoning about Change and Persistence: A Solution to the Frame Problem
• Unnamed Item
• Unnamed Item

This page was built for publication: The logical foundations of goal-regression planning in autonomous agents