Artificial Intelligence
Knowledge and Control for a Mechanical Design Expert System
Computer - Special issue on expert systems in engineering
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems. Part 2
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Knowledge-Based Systems in Artificial Intelligence: 2 Case Studies
Explanation in ecological systems
SIGSMALL '90 Proceedings of the 1990 ACM SIGSMALL/PC symposium on Small systems
Human interaction with intelligent systems: an overview and bibliography
ACM SIGART Bulletin
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
Explanation and Argumentation Capabilities: Towards the Creation of More Persuasive Agents
Artificial Intelligence Review
Using a Relational Database to Support Explanation in a Knowledge-Based System
IEEE Transactions on Knowledge and Data Engineering
Explanations in Knowledge Systems: The Roles of the Task Structure and Domain Functional Models
IEEE Expert: Intelligent Systems and Their Applications
Model-Based Explanations in Simulation-Based Training
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
An explanation facility for a grammar writing system
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
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
Problem solving methods and knowledge systems: A personal journey to perceptual images as knowledge
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Explaining how knowledge-based systems reason involves presentation user modeling, dialogue structure, and the way systems understand their own problem-solving knowledge and strategies. The authors concentrate on the last of these, noting that such understanding provides any explanations's content. The authors also note that most current approaches to knowledge-based system construction require expressing knowledge and control at such low levels that it's hard to give high-level explanations. Providing an explanation example from a prototypical system (MYCIN) built using generic-task methods, they propose generic-task methodology as one way to build knowledge-based systems that contain basic explanation constructs at appropriate abstraction levels. The central concept of generic tasks is what input-output behavior (i.e. that task function), knowledge needed to perform the task, and inferences appropriate for the task are all specified together.