Convergence And Knowledge Processing In Multi Agent Systems

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Convergence and Knowledge Processing in Multi-Agent Systems

Maria Chli,Philippe de Wilde
Convergence and Knowledge Processing in Multi Agent Systems Book PDF

Author : Maria Chli,Philippe de Wilde
Publisher : Springer Science & Business Media
Page : 153 pages
File Size : 52,8 Mb
Release : 2009-05-20
Category : Computers
ISBN : 9781848820630

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Convergence and Knowledge Processing in Multi-Agent Systems by Maria Chli,Philippe de Wilde Pdf

Agent systems are being used to model complex systems like societies, markets and biological systems. In this book we investigate issues of agent systems related to convergence and interactivity using techniques from agent based modelling to simulate complex systems, and demonstrate that interactivity/exchange and convergence in multi-agent systems are issues that are significantly interrelated. Topic and features: - Introduces the state of the art in multi-agent systems, with an emphasis on agent-based computational economics. - Sheds light on the fundamental concepts behind the stability of multi-agent systems. - Investigates knowledge exchange among agents, the rationale behind it and its effects on the ecosystem. - Explores how information provided through interaction with the system can be used to optimise its performance. - Describes a pricing strategy for a realistic large-scale distributed system. This book supplies a comprehensive resource and will be invaluable reading for researchers and postgraduates studying this topic.

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Nikos Vlassis
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Book PDF

Author : Nikos Vlassis
Publisher : Morgan & Claypool Publishers
Page : 85 pages
File Size : 46,8 Mb
Release : 2007
Category : Computers
ISBN : 9781598295269

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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence by Nikos Vlassis Pdf

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 text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. 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 observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.

Innovations in Multi-Agent Systems and Application – 1

Dipti Srinivasan
Innovations in Multi Agent Systems and Application 1 Book PDF

Author : Dipti Srinivasan
Publisher : Springer
Page : 302 pages
File Size : 55,5 Mb
Release : 2010-07-17
Category : Technology & Engineering
ISBN : 9783642144356

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Innovations in Multi-Agent Systems and Application – 1 by Dipti Srinivasan Pdf

In today’s world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.

Knowledge Processing and Decision Making in Agent-Based Systems

Lakhmi C Jain,Ngoc Thanh Nguyen
Knowledge Processing and Decision Making in Agent Based Systems Book PDF

Author : Lakhmi C Jain,Ngoc Thanh Nguyen
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 42,7 Mb
Release : 2009-01-17
Category : Mathematics
ISBN : 9783540880486

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Knowledge Processing and Decision Making in Agent-Based Systems by Lakhmi C Jain,Ngoc Thanh Nguyen Pdf

Knowledge processing and decision making in agent-based systems constitute the key components of intelligent machines. The contributions included in the book are: Innovations in Knowledge Processing and Decision Making in Agent-Based Systems Towards Real-World HTN Planning Agents Mobile Agent-Based System for Distributed Software Maintenance Software Agents in New Generation Networks: Towards the Automation of Telecom Processes Multi-agent Systems and Paraconsistent Knowledge An Agent-based Negotiation Platform for Collaborative Decision-Making in Construction Supply Chain An Event-Driven Algorithm for Agents at the Web A Generic Mobile Agent Framework Toward Ambient Intelligence Developing Actionable Trading Strategies Agent Uncertainty Model and Quantum Mechanics Representation Agent Transportation Layer Adaptation System Software Agents to Enable Service Composition through Negotiation Advanced Technology Towards Developing Decentralized Autonomous Flexible Manufacturing Systems

Intelligent and Knowledge-Based Computing for Business and Organizational Advancements

Sasaki, Hideyasu
Intelligent and Knowledge Based Computing for Business and Organizational Advancements Book PDF

Author : Sasaki, Hideyasu
Publisher : IGI Global
Page : 428 pages
File Size : 48,8 Mb
Release : 2012-05-31
Category : Computers
ISBN : 9781466615786

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Intelligent and Knowledge-Based Computing for Business and Organizational Advancements by Sasaki, Hideyasu Pdf

As organizations, businesses, and other institutions work to move forward during a new era of ubiquitous modern technology, new computing and technology implementation strategies are necessary to harness the shared knowledge of individuals to advance their organizations as a whole. Intelligent and Knowledge-Based Computing for Business and Organizational Advancements examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will prove to be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

The Handbook on Reasoning-Based Intelligent Systems

Kazumi Nakamatsu
The Handbook on Reasoning Based Intelligent Systems Book PDF

Author : Kazumi Nakamatsu
Publisher : World Scientific
Page : 680 pages
File Size : 55,9 Mb
Release : 2013
Category : Computers
ISBN : 9789814329484

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The Handbook on Reasoning-Based Intelligent Systems by Kazumi Nakamatsu Pdf

This book consists of various contributions in conjunction with the keywords OC reasoningOCO and OC intelligent systemsOCO, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally."

Intelligent Autonomous Systems

Dilip Kumar Pratihar
Intelligent Autonomous Systems Book PDF

Author : Dilip Kumar Pratihar
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 49,9 Mb
Release : 2010-02-24
Category : Computers
ISBN : 9783642116759

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Intelligent Autonomous Systems by Dilip Kumar Pratihar Pdf

This research book contains a sample of most recent research in the area of intelligent autonomous systems. The contributions include: General aspects of intelligent autonomous systems Design of intelligent autonomous robots Biped robots Robot for stair-case navigation Ensemble learning for multi-source information fusion Intelligent autonomous systems in psychiatry Condition monitoring of internal combustion engine Security management of an enterprise network High dimensional neural nets and applications This book is directed to engineers, scientists, professor and the undergraduate/postgraduate students who wish to explore this field further.

Intelligent Systems and Technologies

Horia-Nicolai Teodorescu,Junzo Watada,Lakhmi Jain
Intelligent Systems and Technologies Book PDF

Author : Horia-Nicolai Teodorescu,Junzo Watada,Lakhmi Jain
Publisher : Springer
Page : 300 pages
File Size : 41,6 Mb
Release : 2009-07-07
Category : Technology & Engineering
ISBN : 9783642018855

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Intelligent Systems and Technologies by Horia-Nicolai Teodorescu,Junzo Watada,Lakhmi Jain Pdf

Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Recent Advances in Decision Making

Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje
Recent Advances in Decision Making Book PDF

Author : Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 46,6 Mb
Release : 2009-08-04
Category : Business & Economics
ISBN : 9783642021862

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Recent Advances in Decision Making by Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje Pdf

Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.

Modern Big Data Architectures

Dominik Ryzko
Modern Big Data Architectures Book PDF

Author : Dominik Ryzko
Publisher : John Wiley & Sons
Page : 208 pages
File Size : 53,9 Mb
Release : 2020-03-31
Category : Computers
ISBN : 9781119597841

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Modern Big Data Architectures by Dominik Ryzko Pdf

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence—enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and science Explains how to apply common computational models and state-of-the-art architectures to process Big Data tasks Discusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.

Multi-Agent-Based Simulation XI

Tibor Bosse,Armando Geller,Catholijn M. Jonker
Multi Agent Based Simulation XI Book PDF

Author : Tibor Bosse,Armando Geller,Catholijn M. Jonker
Publisher : Springer
Page : 167 pages
File Size : 46,6 Mb
Release : 2011-01-24
Category : Computers
ISBN : 9783642183454

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Multi-Agent-Based Simulation XI by Tibor Bosse,Armando Geller,Catholijn M. Jonker Pdf

This volume contains a selection of the papers presented at the 11th International Workshop on Multi-Agent-Based Simulation (MABS 2010), a workshop co-located with the 9th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), which was held on May 10-14, 2010 in Toronto, Canada. The 11 revised full papers presented were carefully reviewed and selected from 26 submissions. The workshop has been an important source of inspiration for the body of knowledge that has been produced in the field of Multi-Agent Systems (MAS). As illustrated by this volume, the workshop continues to bring together researchers interested in MAS engineering with researchers focused on finding efficient ways to model complex social systems in social, economic and organizational areas. In all these areas, agent theories, metaphors, models, analyses, experimental designs, empirical studies, and methodological principles all converge into simulation as a way of achieving explanations and predictions, exploring and testing hypotheses, and producing better designs and systems.

Conceptual Modelling of Multi-Agent Systems

Norbert Glaser
Conceptual Modelling of Multi Agent Systems Book PDF

Author : Norbert Glaser
Publisher : Springer Science & Business Media
Page : 276 pages
File Size : 52,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461509738

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Conceptual Modelling of Multi-Agent Systems by Norbert Glaser Pdf

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.

Conflicting Agents

Cathérine Tessier,Laurent Chaudron,Heinz-Jürgen Müller
Conflicting Agents Book PDF

Author : Cathérine Tessier,Laurent Chaudron,Heinz-Jürgen Müller
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 55,5 Mb
Release : 2006-04-11
Category : Computers
ISBN : 9780306469855

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Conflicting Agents by Cathérine Tessier,Laurent Chaudron,Heinz-Jürgen Müller Pdf

Conflicts between agents acting in a multi-agent environment arise for different reasons, involve different concepts, and are dealt with in different ways, depending on the kind of agents and on the domain where they are considered. Agents may have conflicting beliefs, conflicting goals, or may have to share limited resources. Consequently, conflicts may be expressed as mere differences, or as contradictions, or even as social conflicts. They may be avoided, solved, kept, or even created deliberately. Conflicting Agents studies conflicts in the context of multi-agent systems, i.e. artificial societies modeled on the basis of autonomous, interacting agents. This book addresses questions about types of conflicts, conflict definitions and the use of conflicts as trigger functions for activities in multi-agent systems. The book is also dedicated to questions of conflict management, resolution and avoidance, i.e. the question of how agents cope with conflicts and conflicting situations.

Multi-Agent-Based Simulation III

David Hales,Bruce Edmonds,Emma Norling,Juliette Rouchier
Multi Agent Based Simulation III Book PDF

Author : David Hales,Bruce Edmonds,Emma Norling,Juliette Rouchier
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 45,9 Mb
Release : 2003-12-09
Category : Computers
ISBN : 9783540207368

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Multi-Agent-Based Simulation III by David Hales,Bruce Edmonds,Emma Norling,Juliette Rouchier Pdf

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Multi-Agent-Based Simulation, MABS 2003, held in Melbourne, Australia as part of AAMAS 2003. The 11 revised full papers presented together with 3 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on MABS techniques for MAS; economics, exchange, and influence in virtual worlds; MABS techniques for real-world modelling, and understanding and classifying MABS.

Knowledge Representation for Agents and Multi-Agent Systems

John-Jules Meyer,Jan M. Broersen
Knowledge Representation for Agents and Multi Agent Systems Book PDF

Author : John-Jules Meyer,Jan M. Broersen
Publisher : Springer Science & Business Media
Page : 168 pages
File Size : 50,8 Mb
Release : 2009-10-26
Category : Computers
ISBN : 9783642053009

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Knowledge Representation for Agents and Multi-Agent Systems by John-Jules Meyer,Jan M. Broersen Pdf

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Knowledge Representation for Agents and Multi-Agent Systems, KRAMAS 2008, held in Sydney, Australia, in September 2008 as a satellite event of KR 2008, the 11th International Conference on Principles of Knowledge Representation and Reasoning. The 10 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers foster the cross-fertilization between the KR (knowledge representation and reasoning) and agent communities, by discussing knowledge representation theories and techniques for agent-based systems.