R. Oehlmann, D. Sleeman, and P. Edwards. Self--Questioning and Experimentation in an Exploratory Discovery System. In Proceedings of the ML--92 Workshop on Machine Discovery, pages 41--50, 1992. Home/Search Document Not in Database Summary Related Articles Check |
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Planning in an Imperfect World Using Previous Experiences - Chiu (1995) (Correct)
....NONLIN [Tat77a, Tat77b] which allows the planning systems to annotate plans being created with information about the dependency structure between operators in the completed plan. This information can also be used to guide retrieval, reuse, and re planning. R. Oehlmann, D. Sleeman, and P. Edwards [OSE92, OSE93] suggest that in addition to the standard features of plan modification, execution, and repair, a planning system should not only be able to transform plans based on knowledge about actions, but also be able to learn the transformation strategies in order to apply to other plans in future use. ....
R. Oehlmann, D. Sleeman, and P. Edwards. Self--Questioning and Experimentation in an Exploratory Discovery System. In Proceedings of the ML--92 Workshop on Machine Discovery, pages 41--50, 1992.
A Framework for Goal-Driven Learning - Ram, Leake (1994) (1 citation) (Correct)
.... learning goals have been characterized in different ways, including as knowledge goals, knowledge acquisition goals, knowledge building goals, questions, learning goals, and delta knowledge goals (e.g. Cox Ram, this volume; desJardins, 1992; Hunter, 1990; Michalski, 1993; Ng Bereiter, 1991; Oehlmann, Sleeman, Edwards, 1992; Quilici, this volume; Ram, 1987, 1990, 1991; Ram Cox, 1994; Ram Hunter, 1992; Schank Abelson, 1977) In our framework, learning goals, in addition to specifying the desired outcome of learning, specify the reason that the desired learning is required (e.g. task specifications (Ram, ....
Oehlmann, R., Sleeman, D., & Edwards, P. (1992.) SelfQuestioning and Experimentation in an Exploratory Discovery System. In Proceedings of the ML-92 Workshop on Machine Discovery, pages 41--50, Ninth International Machine Learning Conference, University of Aberdeen, Scotland.
Goal-Driven Learning - Ram, Leake (1995) (8 citations) (Correct)
....which are then represented as knowledge goals. As in IVY, AQUA s learning occurs through satisfying knowledge goals, but using different methods; IVY looks for desired information in diagnostic cases, and AQUA tries to answer its questions by reading stories (Ram Hunter, 1992 chapter 4) In Oehlmann, Sleeman, and Edwards IULIAN (1992), questions and experimentation interact in an exploratory discovery process applied to the domain of electrical circuits. ffl Learning goals: Michalski s (1993) MTL framework uses learning goals as the starting point for learning; relationships between learning goals are then used to ....
Oehlmann, R., Sleeman, D., & Edwards, P. (1992.) Self-Questioning and Experimentation in an Exploratory Discovery System. In Proceedings of the ML-92 Workshop on Machine Discovery, pages 41--50, Ninth International Machine Learning Conference, University of Aberdeen, Scotland.
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