Rudolf Kruse

Frank Klawonn

Andreas Nürnberger

Kai Michels

This book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphasis is placed on topics of importance for industrial applications, including self-tuning of fuzzy controllers, optimisation and stability analysis. The text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date research results.

Fundamentals, Stability and Design of Fuzzy Controllers

Fuzzy Control

J. Siekmann

Dov Gabbay

J. G. Carbonell

Hans J. Ohlbach

Andreas Nonnengart

This book constitutes the refereed proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning, ECSQARU-FAPR'97, held in Bad Honnef, Germany, in June 1997. The volume presents 33 revised full papers carefully selected for inclusion in the book by the program committee as well as 12 invited contributions. Among the various aspects of human practical reasoning addressed in the papers are nonmonotonic logics, default reasoning, modal logics, belief function theory, Bayesian networks, fuzzy logic, possibility theory, inference algorithms, dynamic reasoning with partial models, and user modeling approaches.

First International Joint Conference on Qualitative and Quantitative Practical Reasoning, ECSQARU-FAPR'97, Bad Honnef, Germany, June 9-12, 1997 Proceedings

Qualitative and Quantitative Practical Reasoning

Giacomo Della Riccia

Hanz-Joachim Lenz

This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.

Data Fusion and Perception

Eyke Hüllermeier

Frank Hoffmann

The book constitutes the refereed proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2010, held in Dortmund, Germany from June 28 - July 2, 2010. The 77 revised full papers were carefully reviewed and selected from 320 submissions and reflect the richness of research in the field of Computational Intelligence and represent developments on topics as: machine learning, data mining, pattern recognition, uncertainty handling, aggregation and fusion of information as well as logic and knowledge processing.

13th IPMU Conference, Dortmund, Germany, June 28 - July 2, 2010. Proceedings

Computational Intelligence for Knowledge-Based System Design

Myra Spiliopoulou

Wolfgang A. Gaul

Christian Borgelt

This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005

From Data and Information Analysis to Knowledge Engineering

The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, this conference has been providing a forum for the exchange of ideas between th theoreticians and practitioners working in these areas and related ?elds. The 13 IPMU conference took place in Dortmund, Germany, June 28–July 2, 2010. This volume contains 79 papers selected through a rigorous reviewing process. The contributions re?ect the richness of research on topics within the scope of the conference and represent several important developments, speci?cally focused on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. We were delighted that Melanie Mitchell (Portland State University, USA), Nihkil R. Pal (Indian Statistical Institute), Bernhard Sch ̈ olkopf (Max Planck I- titute for Biological Cybernetics, Tubing ̈ en, Germany) and Wolfgang Wahlster (German Research Center for Arti?cial Intelligence, Saarbruc ̈ ken) accepted our invitations to present keynote lectures. Jim Bezdek received the Kamp ́ede F ́ eriet Award, granted every two years on the occasion of the IPMU conference, in view of his eminent research contributions to the handling of uncertainty in clustering, data analysis and pattern recognition.

13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Michael R. Berthold

Hans-Joachim Lenz

Elizabeth Bradley

This book constitutes the refereed proceedings of the 5th International Conference on Intelligent Data Analysis, IDA 2003, held in Berlin, Germany in August 2003. The 56 revised papers presented were carefully reviewed and selected from 180 submissions. The papers are organized in topical sections on machine learning, probability and topology, classification and pattern recognition, clustering, applications, modeling, and data processing.

5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings

Advances in Intelligent Data Analysis V

María Ángeles Gil

Przemysław Grzegorzewski

Olgierd Hryniewicz

Christian Moewes

In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

Wolfgang Gaul

Michael Clarke

In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.

European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings

Symbolic and Quantitative Approaches to Reasoning and Uncertainty

13th International Conference, IPMU 2010, Dortmund, Germany, June 28–July 2, 2010. Proceedings, Part I

This book constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.

Didier Dubois

Hans-J. Lenz

Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, Management Science and Computer Science. Software agents of e-commerce, mediators of Information Retrieval Systems and Database based Information Systems are typical new application areas. Until now, planning methods were successfully applied in production, logistics, marketing, finance, management, and used in robots, software agents etc. It is the special feature of the book that planning is embedded into decision theory, and this will give the interested reader new perspectives to follow-up.

Planning Based on Decision Theory

Detlef Nauck

Eines der spannendsten Themen im Bereich intelligenter Systeme - von namhaften Autoren geschrieben - zum Lernen und Nachschlagen. Das Buch führt in das Thema der Neuronalen Netze ein und weist darüber hinaus den Weg bis zum vollen Verständnis modernster Fuzzy-Systeme. Neuronale Netze sind ein wichtiges Werkzeug in den Bereichen der Datenanalyse und Mustererkennung. Ursprünglich durch das biologische Vorbild inspiriert, wurde eine Vielfalt neuronaler Netze für verschiedenste Anwendungen entwickelt. Ihre Kopplung mit Fuzzy-Systemen führt zu den sogenannten Neuro-Fuzzy-Systemen. Diese weisen die Lernfähigkeit Neuronaler Netze auf und bieten gleichzeitig den Vorteil einer transparenten regelbasierten Struktur. Sie sind daher besonders vorteilhaft für Anwendungsbereiche, in denen verständliche Lösungen aus Daten erzeugt werden müssen.

Von den Grundlagen künstlicher Neuronaler Netze zur Kopplung mit Fuzzy-Systemen

Neuro-Fuzzy-Systeme

Christian Braune

Matthias Steinbrecher

Die Autoren behandeln umfassend zentrale Themen der Informatik von Künstlichen Neuronalen Netzen, über Evolutionäre Algorithmen bis hin zu Fuzzy-Systemen und Bayes-Netzen. Denn: Der Anwendungsbereich „Computational Intelligence“ erlangt durch viele erfolgreiche industrielle Produkte immer mehr an Bedeutung. Dieses Buch behandelt die zentralen Techniken dieses Gebiets und bettet sie in ein didaktisches Konzept ein, welches sich gezielt an Studierende und Lehrende der Informatik wendet. Für die vorliegende 2. Auflage des Buches wurden alle Themenbereiche überarbeitet, aktualisiert und zum Teil erweitert. Zusatzmaterialen wie Aufgaben, Lösungen und Foliensätze für Vorlesungen sowie Beispiele aus der industriellen Anwendung betonen den praktischen Charakter des Buches.

Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze

Computational Intelligence

Andreas Günter

Bernd Neumann

This book constitutes the refereed proceedings of the 26th Annual German Conference on Artificial Intelligence, KI 2003, held in Hamburg, Germany in September 2003. The 42 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 90 submissions from 22 countries. The papers are organized in topical sections on logics and ontologies, cognitive modeling, reasoning methods, machine learning, neural networks, reasoning under uncertainty, planning and constraints, spatial modeling, user modeling, and agent technology.

26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003, Proceedings

KI 2003: Advances in Artificial Intelligence

Otto Richter

Reinhold Haux

Klaus Gahl

Meike Jipp

Dieses Open Access Buch erläutert, wie das Zusammenwirken von Menschen, Tieren und Pflanzen einerseits und Maschinen andererseits mit der zunehmenden Digitalisierung und durch das Zusammenwirken von natürlicher und künstlicher Intelligenz zukünftig aussehen wird und inwieweit sich Umfang und Intensität der neuen Synergien bestimmen lassen. Die hohe Komplexität der weitgefächerten Thematik soll in drei Anwendungsgebieten behandelt werden: in Medizin und Gesundheitsversorgung, in physischen und virtuellen Mobilitätsformen sowie in der Kooperation mit Tieren und Pflanzen in der Landwirtschaft. Dabei werden methodisch-technische sowie rechtliche und ethische Aspekte thematisiert.

Zusammenwirken von natürlicher und künstlicher Intelligenz

Jürgen Dassow

Der Tagungsband der 28. Jahrestagung der Gesellschaft für Informatik gibt einen Überblick über diejenigen Trends in den Gebieten Bild- und Sprachverarbeitung, die für die weitere Entwicklung der Informatik eine Schlüsselrolle spielen. In den Beiträgen werden Resultate der Spitzenforschung präsentiert, Anwendungen aus der Industrie formuliert und die gesellschaftliche Relevanz der betrachteten Themengebiete beleuchtet.

Informatik zwischen Bild und Sprache 28. Jahrestagung der Gesellschaft für Informatik Magdeburg, 21.–25. September 1998

Informatik ’98

Rudolf Kruse

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