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Social learning with case-based decisions

Journal of Economic Behavior & Organization, 1999
Abstract In decision problems with unknown payoffs, individuals use their own past experience and the experiences of others. In this article I develop a theory that links in a natural way aggregated decision processes to the underlying communication structure . In particular, I consider a binary decision problem. Since there is noise in the payoff
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Case-based learning of strategic knowledge

1991
In this paper we describe BOLERO, a case-based reasoner that learns strategic knowledge (plans) to improve the problem-solving capabilities of an expert system. As a planner, BOLERO is a reactive planner that when gathering new observations can immediately generate a new plan to cope with the new situations.
Beatriz López 0001, Enric Plaza
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The Design and Implementation of Case-Based Learning in Adaptive Learning

2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009
The development of information technology brought a new prospect for the network study, the adaptive learning has been possible to meet learner’s individual requirements. The case-based learning may provide the simulation situation for the learner, but the adaptive learning takes on the both superiority of the Case-based Learning and simulation ...
Keji Mao, Jian Wu, Qingzhang Chen
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Case-Based Learning

1993
Introduction J.L. Kolodner. Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases A. Ram. Derivational Analogy in PRODIGY: Automated Case Acquisition, Storage and Utilization M.M. Veloso, J.G. Carbonell. Opportunism and Learning K. Hammond, T. Converse, M. Marks, C.M. Seifert. Integrating Feature Extraction and Memory Search C.
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Case-based design and learning in telecommunications

Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1, 1989
Design has been one of the most difficult problems that Artificial Intelligence has faced until now. Design knowledge is almost impossible to gather and put into rules or other structured reasoning tool, and studies of human expert designers have shown that often the design process seems ad hoc and based on “intuition”.
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Case-Based Reasoning in Transfer Learning

2009
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performance and/or learning on a different (target) task. TL methods are typically complex, and case-based reasoning can support them in multiple ways.
David W. Aha   +2 more
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Case-based learning in inductive inference

Proceedings of the fifth annual workshop on Computational learning theory, 1992
There is proposed a formalization of case-based learning in terms of recursion-theoretic inductive inference. This approach is directly derived from some recently published case-based learning algorithms. The intention of the present paper is to exhibit the relationship between case-based learning and inductive inference and to specify this relation ...
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Case-Based Learning

This chapter explores the power of Case-based learning (CBL) as a transformative pedagogical approach within business education. CBL fosters the development of critical thinking, problem-solving, communication, collaboration, and ethical decision-making—all crucial skills for success in the modern business world.
Ramakrishnan Ramachandran, Sruthi Pillai
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An Implementation of a Case-Based Learning System

2006
Learning programming is an important part of learning and teaching of computer science. Case-based learning is becoming more and more welcomed by students when learning programming. Since there is no easy-to-use dynamic case generating system, to generate dynamic cases costs a lot of work, and is difficult to be reused.
Liu Yintao 0005   +3 more
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Case-Based Learning

2022
Dr Seri Abraham   +2 more
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