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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
This book constitutes the refereed proceedings of the Fifth
International Conference on Conceptual Structures, ICCS '97, held
in Seattle, Washington, USA, in August 1997.
This book constitutes the refereed proceedings of the International
Conference on Analytic Tableaux and Related Methods, TABLEAUX'97,
held in Pont-a-Mousson, France, in May 1997.
This book constitutes the refereed proceedings of the 9th
International Conference on Database and Expert Systems
Applications, DEXA'98, held in Vienna, Austria, in August
1998.
This book constitutes the refereed proceedings of the Second
International Workshop on Cooperative Information Systems, CIA'98,
held in cognition with Agents World in July 1998 in Paris.
This two-volume set constitutes the refereed proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The two volumes present a total of 187 revised full papers selected from 291 submissions. In accordance with the conference, the books are devoted to new methodologies, knowledge modeling and hybrid techniques. The papers explore applications from virtually all subareas of AI including knowledge-based systems, fuzzyness and uncertainty, formal reasoning, neural information processing, multiagent systems, perception, robotics, natural language processing, machine learning, supervision and control systems, etc..
A fundamental objective of Artificial Intelligence (AI) is the creation of in telligent computer programs. In more modest terms AI is simply con cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide the inspirational force behind its development. In terms of satisfying both of these desires there can be no better example than machine learning. Machines that can learn have an in-built effi ciency. The same software can be applied in many applications and in many circumstances. The machine can adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas where little is known about possible causal relationships, and even in circumstances where causal relationships are judged not to exist. This last aspect is of major significance when considering machine learning as applied to fi nancial forecasting."
This book constitutes the refereed proceedings of the 7th
International Conference on Database and Expert Systems
Applications, DEXA '96, held in Zurich, Switzerland, in September
1996.
This book constitutes the refereed proceedings of the 8th European
Workshop on Modelling Autonomous Agents in a Multi-Agent World,
MAAMAW'97, held in Ronneby, Sweden, in May 1997.
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.
This book is based on the author's PhD thesis which was selected
during the 1993 ACM Doctoral Dissertation Competition as one of the
three best submissions.
This book constitutes the refereed proceedings of the First
International Workshop on Cooperative Information Agents - DAI
Meets Databases, CIA-97, held in Kiel, Germany, in February
1997.
This book presents the refereed proceedings of the 9th European
Knowledge Acquisition Workshop, EKAW '96, held in Nottingham, UK,
in May 1996.
This volume constitutes the proceedings of the 6th International
Conference on Database and Expert Systems Applications, DEXA '95,
held in London, UK in September 1995.
This book constitutes the refereed proceedings of the Third
European Workshop on Case-Based Reasoning, EWCBR-96, held in
Lausanne, Switzerland, in November 1996.
This volume coherently present 24 thoroughly revised full papers
accepted for the ECAI-94 Workshop on Agent Theories, Architectures,
and Languages.
This volume comprises a selection of the key papers presented at
the Eighth European Knowledge Acquisition Workshop (EKAW '94), held
in Hoegaarden, Belgium in September 1994.
This book is based on the second International Workshop on Agent
Theories, Architectures, and Languages, held in conjunction with
the International Joint Conference on Artificial Intelligence,
IJCAI'95 in Montreal, Canada in August 1995.
The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification."
This volume constitutes the proceedings of the 5th International Conference on Database and Expert Systems Applications (DEXA '94), held in Athens, Greece in September 1994. The 78 papers presented were selected from more than 300 submissions and give a comprehensive view of advanced applications of databases and expert systems. Among the topics covered are object-oriented, temporal, active, geographical, hypermedia and distributed databases, data management, cooperative office applications, object-oriented modelling, industrial applications, conceptual modelling, legal systems, evolving environments, knowledge engineering, information retrieval, advanced querying, medical systems, and CIM.
This book is the final report on a comprehensive basic research
project, named GOSLER on algorithmic learning for knowledge-based
systems supported by the German Federal Ministry of Research and
Technology during the years 1991 - 1994. This research effort was
focused on the study of fundamental learnability problems
integrating theoretical research with the development of tools and
experimental investigation.
This book presents a topical selection of full refereed research
papers presented during the 5th International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems, IPMU '94, held in Paris, France in July
1994. The topical focus is on the role of uncertainty in the
contruction of intelligent computing systems and it is shown how
the concepts of AI, neural networks, and fuzzy logic can be
utilized for that purpose.
Since its inception, fuzzy logic has attracted an incredible amount of interest, and this interest continues to grow at an exponential rate. As such, scientists, researchers, educators and practitioners of fuzzy logic continue to expand on the applicability of what and how fuzzy can be utilised in the real-world. In this book, the authors present key application areas where fuzzy has had significant success. The chapters cover a plethora of application domains, proving credence to the versatility and robustness of a fuzzy approach. A better understanding of fuzzy will ultimately allow for a better appreciation of fuzzy. This book provides the reader with a varied range of examples to illustrate what fuzzy logic can be capable of and how it can be applied. The text will be ideal for individuals new to the notion of fuzzy, as well as for early career academics who wish to further expand on their knowledge of fuzzy applications. The book is also suitable as a supporting text for advanced undergraduate and graduate-level modules on fuzzy logic, soft computing, and applications of AI.
Knowledge representation research is not only formal, it is also descriptiveand normative. Its aim is to implement a formal system which captures a practically relevant body of cognitive faculties employed by humans and capitalizes on its technical strength to extend human knowledge representation and reasoning capabilities. In this monograph, the author develops formalisms for his own notion of a vivid knowledge representation and reasoning system, characterized by the presence of two kinds of negation (weak and strong) and the requirements of restricted reflexivity, constructivity, and non-explosiveness. The book is based on work carried out within an interdisciplinary research project at the Free University of Berlin.
This volume constitutes the proceedings of the 4th International Conference on Database and Expert Systems Applications (DEXA), held in Prague, Czech Republic, in September 1993. Traditionally the objective of the DEXA conferences is to serve as an international forum for the discussion and exchange of research results and practical experinece among theoreticians and professionals working in the field of database and artificial intelligence technologies. Despite the fact that in the conference title the applications aspect is mentioned explicitly, the theoretical and the practical points of view in the field are well-balanced in the program of DEXA'93. The growing importance of the conference series is outlined by the remarkably high number of 269 submissions and by the support given by renown organizations. DEXA'93 is held for the first time outside the former GDR in an East-European country, and is essentially contributing to the advancement of the East-West scientific cooperation in the field of database and AI systems. This proceedings contains the 78 contributed papers carefully selected by an international program committee with thesupport of a high number of subreferees. The volume is organized in sectionson data models, distributed databases, advanced database aspects, database optimization and performance evaluation, spatial and geographic databases, expert systems and knowledge engineering, legal systems, other database and artificial intelligence applications, software engineering, and hypertext/hypermedia and user interfaces. |
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