Multi-Agent-Based Simulation
Multi-Agent-Based Simulation

Author: Scott Moss

Publisher: Springer Science & Business Media

Published: 2001-01-10

Total Pages: 288

ISBN-13: 9783540415220

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This book is devoted to investigating and developing the synergy between software engineering for multi-agent systems and agent-based social simulation; it originates from the Second International Workshop on Multi-Agend-Based Simulation, MABS 2000, held in Boston, MA, USA in July 2000, in conjunction with ICAMS 2000. Besides the thoroughly revised full papers accepted for presentation at the workshop, two invited papers and an introductory survey by one of the volume editors have been added in order to round off the scope and achieve complete coverage of all relevant topics. The book competently surveys the state of the art in the area by offering topical sections on model design issues, applications, simulating social relations and processes, and formal approaches.

Multi-Agent-Based Simulation II
Multi-Agent-Based Simulation II

Author: Jaime S. Sichman

Publisher: Springer Science & Business Media

Published: 2003-02-05

Total Pages: 204

ISBN-13: 3540006079

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This volume presents extended and revised versions of the papers presented at the Third International Workshop on Multi-Agent Based Simulation (MABS 2002), a workshop federated with the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2002), which was held in Bologna, Italy, in July, 2002. This workshop was the third in the MABS series. The earlier two were - ganized as workshops of the two most recent ICMAS conferences (ICMAS 1998, Paris, France and ICMAS 2000, Boston, USA). Revised versions of the papers presented at these workshops were published as volumes 1534 and 1979 in the Lecture Notes in Arti?cial Intelligence series. One aim of the workshop was to develop stronger links between those wo- ing in the social sciences and those involved with multi-agent systems. We are pleased to note that many important conferences in various disciplines such as geography, economics, ecology, sociology, and physics have hosted workshops on MABS-related topics and that many respected journals publish papers that - clude elements of MABS. But although MABS is gradually acquiring legitimacy in many disciplinary ?elds, much remains to be done to clarify the potential use of MABS in these disciplines. Researchers from these disciplines have di?erent points of view on issues such as time-frame, space, geographical scales, or- nizational levels, etc. Moreover, the interest in MABS goes beyond the scienti?c community, as MABS models have been developed and used interactively with other communities as well.

Agent-Based Simulation of Organizational Behavior
Agent-Based Simulation of Organizational Behavior

Author: Davide Secchi

Publisher: Springer

Published: 2015-08-25

Total Pages: 347

ISBN-13: 331918153X

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The aim of this book is to demonstrate how Agent-Based Modelling (ABM) can be used to enhance the study of social agency, organizational behavior and organizational management. It derives from a workshop, sponsored by the Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB), held at Bournemouth University Business School in 2014 on “Modelling Organizational Behavior and Social Agency”. The contents of this book are divided into four themes: Perspectives, Modeling Organizational Behavior, Philosophical and Methodological Perspective, and Modeling Organized Crime and Macro-Organizational Phenomena. ABM is a particular and advanced type of computer simulation where the focus of modeling shifts to the agent rather than to the system. This allows for complex and more realistic representations of reality, facilitating an innovative socio-cognitive perspective on organizational studies. The editors and contributing authors claim that the use of ABM may dramatically expand our understanding of human behavior in organizations. This is made possible because of (a) the computational power made available by technological advancements, (b) the relative ease of the programming, (c) the ability to borrow simulation practices from other disciplines, and (d) the ability to demonstrate how the ABM approach clearly enables a socio-cognitive perspective on organizational complexity. Showcasing contributions from academics and researchers of various backgrounds and discipline, this volumes provides a global, interdisciplinary perspective.

Agent-Directed Simulation and Systems Engineering
Agent-Directed Simulation and Systems Engineering

Author: Levent Yilmaz

Publisher: John Wiley & Sons

Published: 2009-11-04

Total Pages: 550

ISBN-13: 3527627790

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The only book to present the synergy between modeling and simulation, systems engineering, and agent technologies expands the notion of agent-based simulation to also deal with agent simulation and agent-supported simulation. Accessible to both practitioners and managers, it systematically addresses designing and building agent systems from a systems engineering perspective.

Multi-Agent-Based Simulation
Multi-Agent-Based Simulation

Author: Scott Moss

Publisher: Springer Science & Business Media

Published: 2001-01-10

Total Pages: 275

ISBN-13: 354041522X

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This book is devoted to investigating and developing the synergy between software engineering for multi-agent systems and agent-based social simulation; it originates from the Second International Workshop on Multi-Agend-Based Simulation, MABS 2000, held in Boston, MA, USA in July 2000, in conjunction with ICAMS 2000. Besides the thoroughly revised full papers accepted for presentation at the workshop, two invited papers and an introductory survey by one of the volume editors have been added in order to round off the scope and achieve complete coverage of all relevant topics. The book competently surveys the state of the art in the area by offering topical sections on model design issues, applications, simulating social relations and processes, and formal approaches.

Agent Based Models for Economic Policy Advice
Agent Based Models for Economic Policy Advice

Author: Blake LeBaron

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2016-11-21

Total Pages: 160

ISBN-13: 3110508842

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This special issue of the Journal of Economics and Statistics is devoted to the use of agent-based models for economic policy advice. It presents a collection of research papers in different fields of applications. Special emphasis is laid on discussing the potential and possible limitations of agent-based models for economic policy advice. The editorial provides an overview on the role of agent-based modeling in economic policy referring also to the papers presented. Furthermore, it highlights the strength of the approach, i.e., the explicit microfoundation and the modeling of heterogenous agents. Finally, we also report on current limitations of the method with regard to economic policy advice and point at some areas deserving further research.

Multi-Agent-Based Simulation X
Multi-Agent-Based Simulation X

Author: Gennaro Di Tosto

Publisher: Springer Science & Business Media

Published: 2010-06-17

Total Pages: 155

ISBN-13: 3642135528

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The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.

GeoComputation, Second Edition
GeoComputation, Second Edition

Author: Robert J. Abrahart

Publisher: CRC Press

Published: 2014-06-23

Total Pages: 480

ISBN-13: 1466503289

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A revision of Openshaw and Abrahart’s seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field’s development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What’s New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw’s work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

Collaborative Research Design
Collaborative Research Design

Author: Per Vagn Freytag

Publisher: Springer

Published: 2017-09-27

Total Pages: 430

ISBN-13: 9811050082

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This book articulates and interconnects a range of research methods for the investigation of business management processes. It introduces new directions that both recognise the business community as stakeholders in the research process and seek to include them in that process. The book presents a range of contemporary research methods with particular focus on those that allow insights into business managers’ thoughts and behaviours. It includes fresh views on traditional research designs, for example new approaches to using literature reviews, experiments, interviews and observation studies. It also considers cutting-edge research methods, such as the use of vignettes, workshops, improvisation and theatre, as well as computer-based simulation. In addition to discussing new approaches to data capture and data generation, it presents new methods of data analysis by considering various forms of models and modelling, new forms of computer-aided text analysis and innovative approaches to data display. Finally, the book provides a link between the philosophical underpinnings of research and the different research methods presented. This is often neglected but undertaking the knowledge-generating journey that is research includes having a view on reality and marrying this to beliefs about how the reality to be investigated can be best expedited.

Agent-Based Computational Modelling
Agent-Based Computational Modelling

Author: Francesco C. Billari

Publisher: Springer Science & Business Media

Published: 2006-06-14

Total Pages: 232

ISBN-13: 379081721X

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The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.