Artificial Intelligence
Design problem solving: knowledge structures and control strategies
Design problem solving: knowledge structures and control strategies
Explaining knowledge systems: justifying diagnostic conclusions
Explaining knowledge systems: justifying diagnostic conclusions
Design problem solving: a task analysis
AI Magazine
An explanation-based approach to assigning credit
An explanation-based approach to assigning credit
Explaining Control Strategies in Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
Machine understanding of devices: causal explanation of diagnostic conclusions
Machine understanding of devices: causal explanation of diagnostic conclusions
Explanation and Argumentation Capabilities: Towards the Creation of More Persuasive Agents
Artificial Intelligence Review
A High-Level Petri Nets-Based Approach to Verifying Task Structures
IEEE Transactions on Knowledge and Data Engineering
Advanced Policy Explanations on the Web
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Generating explanations of device behavior using compositional modeling and causal ordering
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Semantic web policies – a discussion of requirements and research issues
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Datalog for security, privacy and trust
Datalog'10 Proceedings of the First international conference on Datalog Reloaded
Rule-based policy representation and reasoning for the semantic web
RW'07 Proceedings of the Third international summer school conference on Reasoning Web
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An investigation of explanation (the process by which an expert system explains how it arrived at a particular solution) in the domains of logistics planning and diagnosis is discussed. The research was performed as part of the Strategic Computing Initiative of the US Dept. of Defense's Defence Advanced Research Projects Agency (DARPA). Types and aspects of explanation are examined. The generic task approach to generating explanations of problem-solving strategies and steps and its implementation in the Mission Planning Assistant (MPA), which plans a particular kind of US Air Force mission are described. MPA uses a generic task tool called the design specialists and plans language. Explanation based on logical task structure is then considered. The use of causal models to confirm the plausibility of diagnostic hypothesis is discussed.