By Janet Kolodner (Auth.)
Case-based reasoning is without doubt one of the quickest starting to be parts within the box of knowledge-based platforms and this publication, authored by way of a pacesetter within the box, is the 1st finished textual content at the topic. Case-based reasoning structures are platforms that shop information regarding events of their reminiscence. As new difficulties come up, related occasions are searched out to assist clear up those difficulties. difficulties are understood and inferences are made via discovering the nearest circumstances in reminiscence, evaluating and contrasting the matter with these instances, making inferences according to these comparisons, and asking questions whilst inferences cannot be made.
This ebook provides the cutting-edge in case-based reasoning. the writer synthesizes and analyzes a wide diversity of methods, with precise emphasis on using case-based reasoning to complicated real-world problem-solving projects reminiscent of clinical analysis, layout, clash answer, and making plans. The author's strategy combines cognitive technological know-how and engineering, and relies on research of either professional and common sense initiatives. guidance for construction case-based specialist structures are supplied, equivalent to the way to characterize wisdom in circumstances, the best way to index circumstances for accessibility, easy methods to enforce retrieval techniques for potency, and the way to conform outdated options to slot new occasions.
This booklet is a wonderful textual content for classes and tutorials on case-based reasoning. it's also an invaluable source for desktop pros and cognitive scientists attracted to studying extra approximately this fast-growing field.
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Additional info for Case-Based Reasoning
Readers interested mostly in the cognitive model and in conceptual issues will find the book more straightforward to read. Such readers should read chapters until they find them more technical or methods-based than they are looking for and then skip to the next chapter. All readers will benefit by returning to chapters 2 and 3, and perhaps even chapter 1, after reading the remainder of the book. These chapters will serve to pull together the disparate issues addressed in the separate chapters. The appendix of systems at the end of the book is also meant to serve that purpose.
After reinstantiation and application of critics, CHEF has a complete plan. Many planners would stop there and be finished. Remember, though, that a hallmark of case-based reasoning is that a reasoner learns from its experiences. If the planner stopped with creation of its plan, it would have no feedback to tell it whether its plan worked or didn't work. Without that feedback, there is little basis for learning. 1 CHEF 35 but it would have no way of knowing later on whether it was repeating a plan that worked or one that didn't.
As in other design domains, problems are large. In general, they cannot be solved by finding one old case that mostly covers the solution and adapting from there. Rather, problems usually must be decomposed into component parts to be solved separately. Yet, component parts interact strongly with each other, requiring some mechanism for keeping track of their relationships. JULIA solves this problem by combining case-based reasoning with constraint posting and propagation. Its case-based reasoner proposes solutions to problems and warns of the potential for failures.