Download Free Special Issue Reusing Knowledge In Intelligent Systems Book in PDF and EPUB Free Download. You can read online Special Issue Reusing Knowledge In Intelligent Systems and write the review.

This volume contains the papers selected for presentation at the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, held in Maebashi City, Japan, 28–31 October, 2003. The symposium was organized by the Maebashi Institute of Technology in co-operation with the Japanese Society for Artificial Intelligence. It was sponsored by the Maebashi Institute of Technology, Maebashi Convention Bureau, Maebashi City Government, Gunma Prefecture Government, US AFOSR/AOARD, the Web Intelligence Consortium (Japan), Gunma Information Service Industry Association, and Ryomo Systems Co., Ltd. ISMIS is a conference series that was started in 1986 in Knoxville, Tennessee. Since then it has been held in Charlotte (North Carolina), Knoxville (Tennessee), Turin (Italy), Trondheim (Norway), Warsaw (Poland), Zakopane (Poland), and Lyon (France). The program committee selected the following major areas for ISMIS 2003: active media human-computer interaction, autonomic and evolutionary computation, intelligent agent technology, intelligent information retrieval, intelligent information systems, knowledge representation and integration, knowledge discovery and data mining, logic for artificial intelligence, soft computing, and Web intelligence.
M.A. Bramer University of Portsmouth, UK This volume comprises the refereed technical papers presented at ES2ooo, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000, together with an invited keynote paper by Professor Austin Tate. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Applied Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on learning, case-based reasoning, knowledge representation, knowledge engineering, and belief acquisition and planning. The refereed papers begin with a paper entitled 'A Resource Limited Artificial Immune System for Data Analysis', which describes a machine learning algorithm inspired by the natural immune system. This paper was judged to be the best refereed technical paper submitted to the conference. The considerable growth in interest in machine learning in recent years is well reflected in the content of the next three sections, which comprise four papers on case-based reasoning and nine papers on other areas of machine learning. The remaining papers are devoted to knowledge engineering, knowledge representation, belief acquisition and planning, and include papers on such important emerging topics as knowledge reuse and representing the content of complex multimedia documents on the web. This is the seventeenth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems VIII.
Conceptual Modelling of Multi-Agent Systems proposes the methodology and engineering environment CoMoMAS for the development of multi-agent systems. CoMoMAS is among the most elaborated and most often cited multi-agent development approaches available in the field. Its originality is to address the issue of the development of multi-agent systems (MAS) from a knowledge engineering perspective, which means that agents are seen as interacting entities having different kinds of knowledge, which is to be identified during development. Knowledge has played an important role for MAS development in the past, but CoMoMAS makes a step further in proposing a complete set of conceptual models and a solid methodology to guide the overall development process of a MAS-from design to validation. Conceptual Modelling of Multi-Agent Systems is an excellent reference for both researchers and practitioners in the broad area of distributed systems development. This book is of particular value from the point of view of computer science, including knowledge engineering, artificial intelligence, agent and multi-agent technology, and software engineering.
During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .
ITS 2000 is the fifth international conference on Intelligent Tutoring Systems. The preceding conferences were organized in Montreal in 1988, 1992, and 1996. These conferences were so strongly supported by the international community that it was decided to hold them every two years. ITS’98 was organized by Carol Redfield and Valerie Shute and held in San Antonio, Texas. The program committee included members from 13 countries. They received 140 papers (110 full papers and 30 young researchers papers) from 21 countries. As with any international conference whose proceedings serve as a reference for the field, the program committee faced the demanding task of selecting papers from a particularly high quality set of submissions. This proceedings volume contains 61 papers selected by the program committee from the 110 papers submitted. They were presented at the conference, along with six invited lectures from well known speakers. The papers cover a wide range of subjects including architectures for ITS, teaching and learning strategies, authoring systems, learning environments, instructional designs, cognitive approaches, student modeling, distributed learning environments, evaluation of instructional systems, cooperative systems, Web based training systems, intelligent agents, agent based tutoring systems, intelligent multimedia and hypermedia systems, interface design, and intelligent distance learning.
This book is a balanced presentation of the latest techniques, algorithms and applications in computer science and engineering. The papers, written by eminent researchers in their fields, provide a vehicle for new research and development. The proceedings have been selected for coverage in: . OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). Contents: Internet Applications; Computing in Biology; Human Computer Interface; Parallel Computing/Techniques; Computing Education; Learning Algorithms; Communication Systems/Networks; Information Technology/Linguistics; Computing Formalism/Algorithms; AI/Fuzzy Sets Application and Theory; Imaging Applications. Readership: Researchers in artificial intelligence, databases, fuzzy logic, neural networks, software engineering/programming, theoretical computer science, machine perception/computer vision, computer engineering, biomedical engineering, biocomputing, bioinformatics, biophysics and computational physics."
vi The process is important! I learned this lesson the hard way during my previous existence working as a design engineer with PA Consulting Group's Cambridge Technology Centre. One of my earliest assignments involved the development of a piece of labo- tory automation equipment for a major European pharmaceutical manufacturer.Two things stick in my mind from those early days – first, that the equipment was always to be ready for delivery in three weeks and,second,that being able to write well structured Pascal was not sufficient to deliver reliable software performance. Delivery was ultimately six months late,the project ran some sixty percent over budget and I gained my first promotion to Senior Engineer. At the time it puzzled me that I had been unable to predict the John Clarkson real effort required to complete the automation project – I had Reader in Engineering Design, genuinely believed that the project would be finished in three Director, Cambridge Engineering weeks.It was some years later that I discovered Kenneth Cooper's Design Centre papers describing the Rework Cycle and realised that I had been the victim of “undiscovered rework”.I quickly learned that project plans were not just inaccurate,as most project managers would attest,but often grossly misleading,bearing little resemblance to actual development practice.
The use of Knowledge Engineering and Agent Technology (KEAT) for application development is now recognized as an alternative to conventional software techniques in many application domains. From the background of the IFIP IT&KNOWS conference held in late 1998, this volume aims to discuss the role and the perspectives of domain models and corresponding reasoning processes in the different application fields under a common perspective to create conceptual bases and methods to develop and to improve the use of this type of approach in the context of information technology.