Download Case-Based Reasoning by Michael M. Richter, Rosina Weber PDF

By Michael M. Richter, Rosina Weber

-First English-language textbook at the topic
-Coauthor one of the pioneers of the subject
-Content completely class-tested, publication beneficial properties bankruptcy summaries, historical past notes, and workouts throughout

While it truly is quite effortless to list billions of studies in a database, the knowledge of a process isn't really measured via the variety of its stories yet relatively by means of its skill to use them. Case-based rea­soning (CBR) may be seen as adventure mining, with analogical reasoning utilized to problem–solution pairs. As instances are usually no longer exact, easy garage and bear in mind of stories isn't enough, we needs to outline and examine similarity and variation. the basics of the process at the moment are well-established, and there are numerous profitable advertisement purposes in diversified fields, attracting curiosity from researchers throughout numerous disciplines.

This textbook provides case-based reasoning in a scientific strategy with targets: to give rigorous and officially legitimate buildings for specific reasoning, and to illustrate the variety of options, tools, and instruments on hand for lots of functions. within the chapters partially I the authors current the elemental components of CBR with no assuming earlier reader wisdom; half II explains the middle tools, in particu­lar case representations, similarity subject matters, retrieval, model, assessment, revisions, studying, develop­ment, and upkeep; half III bargains complicated perspectives of those subject matters, also overlaying uncertainty and percentages; and half IV indicates the variety of data assets, with chapters on textual CBR, im­ages, sensor information and speech, conversational CBR, and data administration. The booklet concludes with appendices that provide brief descriptions of the elemental formal definitions and strategies, and comparisons be­tween CBR and different techniques.

The authors draw on years of training and coaching adventure in educational and company environments, and so they hire bankruptcy summaries, heritage notes, and routines through the booklet. It's appropriate for complex undergraduate and graduate scholars of machine technological know-how, administration, and comparable disciplines, and it's additionally a pragmatic advent and consultant for commercial researchers and practitioners engaged with wisdom engineering platforms.

Show description

Read or Download Case-Based Reasoning PDF

Best artificial intelligence books

Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)

Dealing with inherent uncertainty and exploiting compositional constitution are basic to realizing and designing large-scale structures. Statistical relational studying builds on principles from chance thought and information to deal with uncertainty whereas incorporating instruments from good judgment, databases and programming languages to symbolize constitution.

Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge

Contributor be aware: ahead by way of John Seely Brown & James Greeno
Publish yr be aware: First released in 1987

Artificial Intelligence and Tutoring platforms, the 1st entire reference textual content during this dynamic region, surveys examine because the early Seventies and assesses the state-of-the-art. Adopting the point of view of the verbal exchange of information, the writer addresses functional concerns thinking about designing tutorial platforms in addition to theoretical questions raised via investigating computational tools of information verbal exchange.

Weaving jointly the ambitions, contributions, and engaging demanding situations of clever tutoring approach improvement, this well timed e-book turns out to be useful as a textual content in classes on clever tutoring structures or computer-aided guide, an creation for beginners to the sector, or as a reference for researchers and practitioners.

Computational Contact and Impact Mechanics: Fundamentals of Modeling Interfacial Phenomena in Nonlinear Finite Element Analysis

This booklet comprehensively treats the formula and finite point approximation of touch and effect difficulties in nonlinear mechanics. meant for college students, researchers and practitioners drawn to numerical good and structural research, in addition to for engineers and scientists facing applied sciences during which tribological reaction needs to be characterised, the booklet comprises an introductory yet special review of nonlinear finite point formulations ahead of facing touch and effect in particular.

Springers Mathematische Formeln: Taschenbuch für Ingenieure, Naturwissenschaftler, Informatiker, Wirtschaftswissenschaftler

Der schnelle und präzise Zugriff auf Daten und Fakten der Mathematik für Ingenieure, Informatiker, Naturwissenschaftler und Wirtschaftswissenschaftler, für Studenten und Anwender! Dieses völlig neu konzipierte Handbuch bietet in moderner, besonders übersichtlicher Aufmachung mathematische Formeln, Tabellen, Definitionen und Sätze.

Extra resources for Case-Based Reasoning

Example text

4 Let CB be a set of objects and p be an object; then some s of CB is a nearest neighbour to p if there is no object in the CB that has a higher similarity to p than s. The principle is that no case is more useful than a nearest neighbour. The advantage of having degrees of similarity is that we can compare them and have a way to determine which experience is closer to the new problem. In particular, it allows us to say which recorded experience is the most similar one. This brings up the usefulness of the concept of nearest neighbours.

2. A case would be a description of the car problem together with a description of the solution. Here, a problem is just a case without a solution, in this example unusual car noises. 2 presents the example through its attributes. One must realise that there are numerous car failures that refer to many different aspects of a car. However, within a certain type of failure the diversity is rather restricted. Hence, one has either to know what the possibly relevant attributes are or where one can find them.

2 shows some attributes. In order to make use of experiences for solving the problem of finding a diagnosis and a repair we need a collection of many experiences to choose from. These will be a collection (or set) of cases. As a general advice, we can look at humans describing a failure. That means we did not invent something new here. The CBR goal is just to support the usage of those experiences. Even if all attributes used are of interest, it is not guaranteed that they all have the same importance.

Download PDF sample

Rated 4.91 of 5 – based on 42 votes