[PDF] Ecai 88 eBook

Author : Yves Kodratoff
Publisher : Elsevier
Page : 836 pages
File Size : 34,68 MB
Release : 2014-06-28
Category : Computers
ISBN : 0080510558

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Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.

Author : John-Jules Ch. Meyer
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 50,95 MB
Release : 2013-04-17
Category : Mathematics
ISBN : 9401717435

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This volume, the 6th volume in the DRUMS Handbook series, is part of the after math of the successful ESPRIT project DRUMS (Defeasible Reasoning and Un certainty Management Systems) which took place in two stages from 1989-1996. In the second stage (1993-1996) a work package was introduced devoted to the topics Reasoning and Dynamics, covering both the topics of 'Dynamics of Rea soning', where reasoning is viewed as a process, and 'Reasoning about Dynamics', which must be understood as pertaining to how both designers of and agents within dynamic systems may reason about these systems. The present volume presents work done in this context. This work has an emphasis on modelling and formal techniques in the investigation of the topic "Reasoning and Dynamics", but it is not mere theory that occupied us. Rather research was aimed at bridging the gap between theory and practice. Therefore also real-life applications of the modelling techniques were considered, and we hope this also shows in this volume, which is focused on the dynamics of reasoning processes. In order to give the book a broader perspective, we have invited a number of well-known researchers outside the project but working on similar topics to contribute as well. We have very pleasant recollections of the project, with its lively workshops and other meetings, with the many sites and researchers involved, both within and outside our own work package.

Author : Y. Demazeau
Publisher : Elsevier
Page : 272 pages
File Size : 27,15 MB
Release : 1990-07-06
Category : Computers
ISBN : 044459924X

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Much research in Artificial Intelligence deals with a single agent having complete control over the world. A variation of this is Distributed AI (DAI), which is concerned with the collaborative solution of global problems by a distributed group of entities. This book deals with Decentralized AI (DzAI), which is concerned with the activity of an autonomous agent in a multi-agent world. The word ``agent'' is used in a broad sense, to designate an intelligent entity acting rationally and intentionally with respect to its goals and the current state of its knowledge. A number of these agents coexist and may collaborate with other agents in a common world; each agent may accomplish its own tasks, or cooperate with other agents to perform a personal or global task. The agents have imperfect knowledge about each other and about their common world, which they can update either through perception of the world, or by communication with each other. The papers were originally presented at a workshop held at King's College, Cambridge, and have been revised for this book.

Author : Hannes Werthner
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 18,56 MB
Release : 2012-12-06
Category : Computers
ISBN : 3709166241

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The book provides a survey about the field of Qualitative Reasoning, it contrasts and classifies its approaches and puts them into a common framework. Qualitative Reasoning represents an approach of Artificial Intelligence to model dynamic systems, about which little information is available, and to derive statements about the potential behavior of these systems, putting emphasis on a causal explanation of the behavior. Both variables and relationships between variables are described by means of qualitative terms such as small and large or positive and negative. Since this approach also takes into consideration the way how humans reason about physical systems, it can be stated that Qualitative Reasoning participates in the creation of a cognitive theory of non-numerical process descriptions which can be mapped onto a digital computer. This approach can be used for simulation, diagnosis, design, structure identification and interpretation. Areas of application are physics, medicine, the field of ecology, process control, etc. In addition to the classification of existing methods, the book presents a new approach based on fuzzy sets. And the work relates Qualitative Reasoning with such fields of Expert Systems, System Theory and Cognitive Science.

Author : Timothy Jordanides
Publisher : Springer Science & Business Media
Page : 745 pages
File Size : 16,76 MB
Release : 2012-12-06
Category : Computers
ISBN : 3642764657

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The areas of intelligent machines or robotic systems is of enormous technological and economic interest as competition in productivity intensifies. This volume gives the proceedings of the 1990 Advanced Study Institute on Expert Systems and Robotics. It presents research work already accomplished in the analytical theory of intelligent machines, work in progress and of current interest and some specific examples for further research. The papers in the volume range from the most theoretical to some descriptions of very practical working robots. The papers are organized into sections on vision and image analysis, robotic sensory systems, software/hardware and system simulation, robot control, applications, and reports of group meetings.

Author : Hans Hagen
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 14,76 MB
Release : 2012-12-06
Category : Computers
ISBN : 3642771653

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One of the important issues of Scientific Visualization is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes and simulations involving voluminous data sets across diverse scientific disciplines. This book presents the state-of-the-art in visualization techniques both as an overview for the inquiring scientist, and as a solid platform from which developers may extend existing techniques or devise new ones to meet the specific needs of their problems. A secondary goal in crafting this volume has been to provide a vehicle for teaching of state-of-the-art techniques in scientific visualization. The first part of the book covers the application areas fluid flow visualization in medicine, and environmental protection. The second set of chapters explain fundamentals of scientific visualization. It comprises contributions on data structuring and data administration, data modeling, and rendering. A final section is devoted to auditory representation of scientific data.