User Modeling 2003: 9th International Conference, UM 2003, Johnstown, PA, USA, June 22-26, 2003, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

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User Modeling 2003: 9th International Conference, UM 2003, Johnstown, PA, USA, June 22-26, 2003, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) Overview

This book constitutes the refereed proceedings of the 9th International Conference on User Modeling, UM 2003, held in Johnstown, PA, USA in June 2003.

The 20 revised full papers and 28 revised poster papers presented together with 12 abstracts were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on adaptive hypermedia, adaptive Web, natural language and dialogue, plan recognition, evaluation, emerging issues of user modeling, group modeling and cooperation, applications, student modeling, learning environments - natural language and paedagogy, and mobile and ubiquitous computing.

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Artificial Intelligence, Simulation, and Modeling

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Artificial Intelligence, Simulation, and Modeling Overview

This interdisciplinary approach to computer modeling addresses both traditional simulationists seeking the greater representational flexibility and ease of use that AI techniques offer, and computer scientists seeking the greater power and realism that rigorous simulation techniques can provide. First section reveals the theoretical underpinnings of AI and simulation. Second section describes application of simulation techniques to current problems in AI research. Third section discusses application of AI methods to simulation.

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Multi-Agent-Based Simulation VI: International Workshop, MABS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers (Lecture Notes ... Notes in Artificial Intelligence) (v. 6)

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Multi-Agent-Based Simulation VI: International Workshop, MABS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers (Lecture Notes ... Notes in Artificial Intelligence) (v. 6) Overview

This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Multi-Agent-Based Simulation, MABS 2005, held in Utrecht, The Netherlands in July 2005 as an associated event of AAMAS 2005, the main international conference on autonomous agents and multi-agent systems.

The 12 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 28 submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on coalition emergence, theories and models, applications, and environments.

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Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23)

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Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23) Overview

This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.

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Modeling and Planning for Sensor Based Intelligent Robot Systems (Series in Machine Perception and Artificial Intelligence)

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Modeling and Planning for Sensor Based Intelligent Robot Systems (Series in Machine Perception and Artificial Intelligence) Overview

This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modeling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modeling, motion planning, robot navigation, distributed control architectures, reactive behavior, and others.

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Many-Agent Simulation and Artificial Life (Frontiers in Artificial Intelligence and Applications)

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Many-Agent Simulation and Artificial Life (Frontiers in Artificial Intelligence and Applications) Overview

This work provides an overview of the theoretical, as well as the practical, aspects involved in the study and implementation of many-agent simulation models. The model presented here is based on the idea that programs exhibit behaviours entirely described by their internal mechanisms, namely the program instructions. By relating an individual to a program, it is possible to achieve an artificial world inhabited by interacting processes. It is possible, then, to achieve simulation by transposing the population of a real system to this artificial counterpart in which particular hypotheses can be explored by repeating experiments the same way as in a real laboratory, but more easily. Each member of a population is then represented as an agent whose behaviour is programmed with all the required details. Many-agent simulations therefore primarily help to model situations in which individuals have complex and different behaviours, while taking into account both quantitative (numerical parameters) and qualitative (individual behaviours) properties of the system.

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Automated Modeling of Physical Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

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Automated Modeling of Physical Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) Overview

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 monograph investigates the problem of selecting adequate models for reasoning about physical systems and applications to engineering problem solving. An elegant treatment of both the theoretical and practical sides are presented: the problem is precisely formalized, its computational complexity is analyzed in detail, and an efficient algorithm for finding adequate models is derived; on the practical side, a methodology for building systems that automatically construct adequate models is provided, and implementational aspects and tests are described.

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Qualitative Representation of Spatial Knowledge (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

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Qualitative Representation of Spatial Knowledge (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) Overview

This book develops, for the first time, a qualitative model for the representation of spatial knowledge based only on locative relations between the objects involved.
The core of this book is devoted to the study of qualitative inference methods that take into account the rich structure of space. These methods can be applied to quite a number of areas characterized by uncertain or incomplete knowledge, as for example geographic information systems, robot control, computer-aided architectural design, and natural language information systems.

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Multi-Agent-Based Simulation VII: International Workshop, MABS 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers (Lecture Notes in Computer ... Notes in Artificial Intelligence) (No. 7)

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Multi-Agent-Based Simulation VII: International Workshop, MABS 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers (Lecture Notes in Computer ... Notes in Artificial Intelligence) (No. 7) Overview

This book constitutes the thoroughly refereed proceedings of the 7th International Workshop on Multi-Agent-Based Simulation, MABS 2006, held in Hakodate, Japan, May 8, 2006 as an associated event of AAMAS 2006, the main international conference on autonomous agents and multi-agent systems.

The 12 revised full papers presented together with 3 short papers and 2 invited papers were carefully reviewed and selected from 25 submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on Empirical Cross Studies, Experimental Ecology, Experimental Economics, Foundations and Methodologies, Learning and Social Dependence.

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Distributed Artificial Intelligence Architecture and Modelling: First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995. Proceedings ... / Lecture Notes in Artificial Intelligence)

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Distributed Artificial Intelligence Architecture and Modelling: First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995. Proceedings ... / Lecture Notes in Artificial Intelligence) Overview

This book constitutes the refereed proceedings of the First Australian Workshop on Distributed Artificial Intelligence, held in Canberra, ACT, Australia, in November 1995. The 16 full papers included in the book are revised versions of the contributions accepted for presentation at the workshop; they cover a wide range of current issues in the field of DAI, such as formal frameworks, methodology, theory, and architecture; various aspects of agents and multi-agent systems are addressed.

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Artificial Intelligence and International Politics

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Artificial Intelligence and International Politics Overview

For over a decade researchers in international relations have sought ways to combine the rigor of quantitative techniques with the richness of qualitative data. Many have discovered that artificial intelligence computer models allow them to do just that. This is an overview of their research.

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RoboCup-99: Robot Soccer World Cup III (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

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RoboCup-99: Robot Soccer World Cup III (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) Overview

This book is the third official archival publication devoted to RoboCup and documents the achievements presented at the Third Robot World Cup Soccer Games and Conferences, Robo-Cup-99, held in Stockholm, Sweden in July/August 1999. The book presents the following parts - Introductory overview and survey - Research papers of the champion teams and scientific award winners - Technical papers presented at the RoboCup-99 Workshop - Team description of a large number of participating teams. This book is mandatory reading for the rapidly growing RoboCup community as well as a valuable source or reference and inspiration for R&D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.

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Intelligent Computational Paradigms in Earthquake Engineering (Computational Intelligence and Its Applications)

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Intelligent Computational Paradigms in Earthquake Engineering (Computational Intelligence and Its Applications) Overview

"The enormous advances in computational hardware and software resources over the last fifteen years resulted in the development of non-conventional data processing and simulation methods. Among these methods artificial intelligence (AI) has been mentioned as one of the most eminent approaches to the so-called intelligent methods of information processing that present a great potential for engineering applications. Intelligent Computational Paradigms in Earthquake Engineering contains contributions that cover a wide spectrum of very important real-world engineering problems, and explore the implementation of neural networks for the representation of structural responses in earthquake engineering. This book assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering. Intelligent Computational Paradigms in Earthquake Engineering presents the application of learning machines, artificial neural networks and support vector machines as highly-efficient pattern recognition tools for structural damage detection. It includes an AI-based evaluation of bridge structures using life-cycle cost principles that considers seismic risk, and emphasizes the use of AI methodologies in a geotechnical earthquake engineering application. "

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