Ivy Case System

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Case-Based Learning

Author: Janet L. Kolodner
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning cycle. A situation is experienced. Old situations are used to understand it. Old situations are used to solve a problem (if there is one to be solved). Then the new situation is inserted into memory alongside the cases it used for reasoning, to be used another time. The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem: assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.
Agile Information Systems

The Editor, Kevin Desouza, has organized the chapters under three categories: discussion of the concept of agile information systems (i.e. defining agile information management, its attributes, antecedents, consequences, etc.) discussion of information systems within the context of agility (i.e., descriptions of agile information systems and their attributes, how to build agile information systems, etc.) discussion of organizational management issues in the context of agile information systems (i.e., how to prepare the organization for agile information systems, management of agile information systems for improved organizational performance, etc.). This is the first book to address the hot topic of agile information systems. Contributions break new ground and provide concrete applications for practice. Contributors include highly respected academics from around the world
Strategic Information Management

Today there are few organizations that can afford to ignore information technology and few individuals who would prefer to be without it. As managerial tasks become more complex, so the nature of the required information systems changes from structured, routine support to ad hoc, unstructured, complex enquiries at the highest levels of management. As with the first three editions, this fourth edition of Strategic Information Management: Challenges and Strategies in Managing Information Systems presents the many complex and inter-related issues associated with the management of information systems. This book provides a rich source of material reflecting recent thinking on the key issues facing executives in information systems strategic management. It draws from a wide range of contemporary articles written by leading experts from North America, Asia, and Europe. Designed as a course text for MBA, Master's level students, and senior undergraduate students taking courses in information management, it also provides a wealth of information and references for researchers. New to this edition are updated readings addressing current issues and the latest thinking in information management.