The split-up system: integrating neural networks and rule-based reasoning in the legal domain
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Explanation and Argumentation Capabilities: Towards the Creation of More Persuasive Agents
Artificial Intelligence Review
User interfaces and help systems: from helplessness to intelligent assistance
Artificial Intelligence Review
Goal-Directed Reasoning with ACE-SSM
IEEE Transactions on Knowledge and Data Engineering
A Multi-agent Bioinformatics Integration System with Adjustable Autonomy
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
WhyNot: debugging failed queries in large knowledge bases
Eighteenth national conference on Artificial intelligence
Knowledge-based system explanation: the ripple-down rules alternative
Knowledge and Information Systems
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
Context in problem solving: a survey
The Knowledge Engineering Review
A review of explanation methods for heuristic expert systems
The Knowledge Engineering Review
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
Journal of Management Information Systems
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
WhyNot: debugging failed queries in large knowledge bases
IAAI'02 Proceedings of the 14th conference on Innovative applications of artificial intelligence - Volume 1
Improving understandability of semantic search explanations
International Journal of Knowledge Engineering and Data Mining
Constructing understandable explanations for semantic search results
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
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Existing explanation facilities are typically far more appropriatefor knowledge engineers engaged in system maintenance than for end-usersof the system. This is because the explanation is little more than atrace of the detailed problem-solving steps. An alternative approachrecognizes that an effective explanation often needs to substantiallyreorganize the actual line of reasoning and bring to bear additionalinformation to support the result. Explanation itself becomes a complexproblem-solving process that depends not only on the actual line ofreasoning, but also on additional knowledge of the domain. This paperpresents a new computational model of explanation and argues that itresults in significant improvements over traditional approaches.—Authors' Abstract