Distributed artificial intelligence, agent technology, and collaborative applications



Publisher: Information Science Reference in Hershey

Written in English
Published: Pages: 426 Downloads: 172
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Subjects:

  • Distributed artificial intelligence.,
  • Artificial intelligence -- Industrial applications.

Edition Notes

StatementVijayan Sugumaran [editor].
SeriesAdvances in intelligent information technologies, Advances in intelligent information technologies
ContributionsSugumaran, Vijayan, 1960-
Classifications
LC ClassificationsQ337 .D577 2009
The Physical Object
Paginationxxii, 426 p. :
Number of Pages426
ID Numbers
Open LibraryOL22999299M
ISBN 101605661449
ISBN 109781605661445
LC Control Number2008023190

  This app helps you to learn all about artificial intelligence (AI) It covers: Artificial Intelligence- Introduction Philosophy of AI Goals of AI What Contributes to AI? Programming Without and With AI What is AI Technique? Applications of AI History of AI What is Intelligence? Types of Intelligence What is Intelligence Composed of? Difference between Human and Machine Intelligence Artificial.   Free Online Library: Counseling and educational research; evaluation and application, 2d ed.(Brief article, Book review) by "SciTech Book News"; Publishing industry Library and information science Science and technology, general Books Book reviews. Jacques Ferber is Professor of Computer Science and Artificial Intelligence at the University of Montpellier, France and head of one of the foremost research groups in Europe investigating the applications of distributed artificial intelligence and multi-agent systems. Translated and updated from the original French, this book was winner of the French Association of Engineering and . Therefore, traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-) agent technology in particular. This book gives an overview of recent advances in agent-based transportation systems. It includes both a state-of-the-art survey and reports on cutting-edge research in the field.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Synthesis Lectures on Artificial Intelligence and Machine Learning. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial.   Distributed Artificial Intelligence: One of the many approaches to artificial intelligence is distributed artificial intelligence (DAI). It is used to for learning by means of complex learning methods, large-scale planning and decision making. It can use a wide range of computational resources in different areas. This means that it can easily. Distributed Artificial Intelligence, Agent Technology and Collaborative Applications, 1st Edition Information Science Reference ISBN Grade Level Range: College Freshman - College Senior eBook. @article{osti_, title = {Distributed artificial intelligence}, author = {Huhns, M}, abstractNote = {Presenting papers originally given at workshop, this collection describes the current state of research in distributed artificial intelligence (DAI). DAI is concerned with the cooperative solution of problems by a decentralized group of agents.

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial expression was introduced by Gerardo Beni and Jing Wang in , in the context of cellular robotic systems.. SI systems consist typically of a population of simple agents or boids interacting locally with one another. This book constitutes the strictly refereed post-workshop proceedings originating from the Second Australian Workshop on Distributed Artificial Intelligence, held in Cairns, QLD, Australia, in August , as a satellite meeting of PRICAI'The 13 revised full papers presented have been selected. Current research on intelligent agents and multi-agent systems builds on developments in several areas of computer science including: artificial intelligence (agent designs, learning, planning, inference, distributed problem-solving), information retrieval, database and knowledge-base systems, and distributed computing. The application of these technologies is clearly explained within the context of planning, negotiation, contracts, compliance, privacy, and network policies. The presentation of the intellectual underpinnings of Web services draws from several key disciplines such as databases, distributed computing, artificial intelligence, and multi-agent.

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Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and collaborative applications book machine learning algorithms.

This comprehensive collection. Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all buted Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering.

Get this from a library. Distributed artificial intelligence, agent technology, and collaborative applications. [Vijayan Sugumaran;] -- "This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as.

Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and.

Get this from a library. Distributed artificial intelligence: agent technology and collaborative applications. [Vijayan Sugumaran;] -- "This book is a catalyst for emerging research in intelligent information, specifically artificial intelligent technologies and applications to assist in improving productivity in many roles such as.

Cumpără cartea Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications de Vijayan Sugumaran la prețul de lei, discount 20% cu livrare gratuită prin curier oriunde în România. Definition. Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision making is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing properties allow it to and collaborative applications book problems that require the processing of very large data sets.

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research.

But exactly, it is not related completely to management research. The text examines representing and using. E-books and e-journals are hosted on IGI Global’s InfoSci® platform and available for PDF and/or ePUB download on a perpetual or subscription basis.

This discount cannot be combined with any other discount or promotional offer. Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications, edited by Vijayan. Currently, agents are the focus of intense interest on the part of many sub-fields of computer science and artificial intelligence.

Agents are being used in an increasingly wide variety of applications, ranging from comparatively small systems such as email filters to large, open, complex, mission critical systems such as air traffic control. Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications offers an enriched set of research articles in artificial intelligence (AI), covering significant.

Cooperative Systems Design: Scenario-based Design of Collaborative Systems EBSCO ebook academic collection Volume of Frontiers in artificial intelligence and applications, ISSN Editors: Françoise Darses, Rose Dieng, C Simone: Edition: illustrated: Publisher: IOS Press, ISBN:Length: pages 1/5(1).

Research in distributed artificial intelligence has historically focused on two distinct classes of problems. One paradigm, “planning for multiple agents,” considers issues inherent in centrally directed multiagent execution (Smith's Contract Net [Smith ], [Smith ] falls into this category, as does other DAI work such as.

This paper examines some of the issues associated with the use of distributed artificial intelligence systems within the construction industry. It describes the potential for the use of agent technology in collaborative design and then goes on to present the key features of an agent-based system for the collaborative design of portal frame.

Contents of the book This book contains: a survey of the state of the art in relation to the subject; a viewpoint on multi-agent systems, presented as a new systemics, which puts the emphasis on the issues of interaction and its consequences; a conceptual analysis of the field, based on a classification of the main problems and results and Reviews: 6.

Academic Publications. Book and Book Chapters: 1) Hong Lin, Designing Multi-Agent Systems from Logic Specifications: A Case Study, in Vijay Sugumaran (ed.), Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications, IGI Global,pp.

2) Hong Lin, Promoting Undergraduate Education with Agent Based Laboratory, in Lawrence A. Tomei (ed.), Information and. Purchase Readings in Distributed Artificial Intelligence - 1st Edition. Print Book & E-Book.

ISBNDistributed Artificial Intelligence presents a collection of papers describing the state of research in distributed artificial intelligence (DAI). DAI is concerned with the cooperative solution of problems by a decentralized group of agents. The agents may range from simple processing elements to complex entities exhibiting rational behavior.

The Cognitive IoT (CIoT) is considered as the next generation of IoT, forming a Collective Artificial Intelligence where things are augmented with autonomous software agents, self-coordinating for distributed reasoning and collaborative decision-making, and paving the way for the design and implementation of a next-generation of smart environments.

TechRepublic's Dan Patterson spoke with Goertzel to discuss why blockchain technology is perfect for building an open and distributed artificial intelligence (AI) platform. This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.

The book provides detailed coverage of basic topics as well as several closely related traditional textbooks, the book brings together many leading experts, guaranteeing a broad and diverse base of knowledge and expertise.

Intelligent agent and distributed AI (DAI) approaches attach specific conditions to cooperative exchanges between intelligent systems, that go far beyond simple functional interoperability. Ideally, systems that pursue local or global goals, coordinate their actions, share knowledge, and resolve conflicts during their interactions within groups of similar or dissimilar agents can be viewed as.

Purchase Distributed Artificial Intelligence - 1st Edition. Print Book & E-Book. ISBNAbstract: Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning.

This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner.

The successful use of intelligent agents in healthcare has attracted researchers to apply this emerging software engineering paradigm in more advanced and complex applications.

Main success factor is the natural mapping of real world medical problems into cyber world. Multi-agent architecture can easily model the heterogeneous, distributed and autonomous health care systems. Special issue on Learning in Distributed Artificial Intelligence Systems, Journal of Experimental and Theoretical Artificial Intelligence, 10 (3).

Adaption and learning in multi-agent systems Jan About. Yuqing is a research scientist at Facebook AI. Previously, he was a member of the Microsoft deep learning CNTK toolkit team.

Before joining Microsoft, he was at the Robotics Institute at Title: Research Scientist at Facebook AI. Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications, Idea Group Inc (IGI), chapter XII, pp.~ Described the state of the art techniques for Web mining.

* Ben Choi and Zhongmei Yao, “Web Page Classification,”. Software agents: an overview - Volume 11 Issue 3 - Hyacinth S. Nwana. Agent software is a rapidly developing area of research.

However, the overuse of the word “agent” has tended to mask the fact that, in reality, there is a truly heterogeneous body of research being carried out under this banner. Information gathering in Internet is a complex activity.

A solution consists in to assist Internet users in their information gathering processes by means of distributed intelligent agents in order to find the fittest information to their information needs.

In this paper we describe a fuzzy linguistic multi-agent model that incorporates information filtering techniques in its structure, i.e. InternationalConference on Agents and Artificial Intelligence. Rome, Italy. Fujita, K., T. Ito and M. Klein (). An Approach to Scalable Multi-issue Negotiation: Decomposing the Contract Space based on Issue Interdependencies.

IEEE/WIC/ACMInternational Conference on Intelligent Agent Technology. Toronto Ontario Canada. Iandoli, L., A.The book begins with a long introduction that sketches the historical origins of MAS research (mainly stating that Decentralised Artificial Intelligence is a complement to Artificial Intelligence and Artificial Life).

Ferber gives a minimal definition of an agent and of an MAS, so that all branches of multi-agent research can accept it.Distributed artificial intelligence (DAI) is concerned with the cooperative solution of problems in multi-agent intelligent systems with both computational and human agents.

The central problem in DAI is how to achieve coordinated action among such agents, so .