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Agent-Based Computational Economics: How the idea originated and where it is going (Routledge Advances in Experimental and Computable Economics)
by Shu-Heng ChenThis book aims to answer two questions that are fundamental to the study of agent-based economic models: what is agent-based computational economics and why do we need agent-based economic modelling of economy? This book provides a review of the development of agent-based computational economics (ACE) from a perspective on how artificial economic agents are designed under the influences of complex sciences, experimental economics, artificial intelligence, evolutionary biology, psychology, anthropology and neuroscience. This book begins with a historical review of ACE by tracing its origins. From a modelling viewpoint, ACE brings truly decentralized procedures into market analysis, from a single market to the whole economy. This book also reviews how experimental economics and artificial intelligence have shaped the development of ACE. For the former, the book discusses how ACE models can be used to analyse the economic consequences of cognitive capacity, personality and cultural inheritance. For the latter, the book covers the various tools used to construct artificial adaptive agents, including reinforcement learning, fuzzy decision rules, neural networks, and evolutionary computation. This book will be of interest to graduate students researching computational economics, experimental economics, behavioural economics, and research methodology.
Agent-Based Modeling and Simulation with Swarm (Chapman & Hall/CRC Studies in Informatics Series)
by Hitoshi IbaSwarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that i
Agent-Based Modeling of Social Conflict: From Mechanisms to Complex Behavior (SpringerBriefs in Complexity)
by Carlos M. LemosThis Brief revisits and extends Epstein's classical agent-based model of civil violence by considering important mechanisms suggested by social conflict theories. Among them are: relative deprivation as generator of hardship, generalized vanishing of the risk perception ('massive fear loss') when the uprisings surpass a certain threshold, endogenous legitimacy feedback, and network influence effects represented by the mechanism of dispositional contagion. The model is explored in a set of computer experiments designed to provide insight on how mechanisms lead to increased complexity of the solutions. The results of the simulations are compared with statistical analyses of estimated size, duration and recurrence of large demonstrations and riots for eight African countries affected by the "Arab Spring," based on the Social Conflict Analysis Database. It is shown that the extensions to Epstein's model proposed herein lead to increased "generative capacity" of the agent-based model (i. e. a richer set of meaningful qualitative behaviors) as well the identification of key mechanisms and associated parameters with tipping points. The use of quantitative information (international indicators and statistical analyses of conflict events) allows the assessment of the plausibility of input parameter values and simulated results, and thus a better understanding of the model's strengths and limitations. The contributions of the present work for understanding how mechanisms of large scale conflict lead to complex behavior include a new form of the estimated arrest probability, a simple representation of political vs economic deprivation with a parameter which controls the `sensitivity' to value, endogenous legitimacy feedback, and the effect of network influences (due to small groups and "activists"). In addition, the analysis of the Social Conflict Analysis Database provided a quantitative description of the impact of the "Arab Spring" in several countries focused on complexity issues such as peaceful vs violent, spontaneous vs organized, and patterns of size, duration and recurrence of conflict events in this recent and important large-scale conflict process. This book will appeal to students and researchers working in these computational social science subfields.
Agent-Based Modelling of Socio-Technical Systems (Agent-Based Social Systems #9)
by Zofia Lukszo Koen H. Dam Igor NikolicDecision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.
Agent-Based Modelling of Worker Exploitation: Slave from the Machine (Frontiers in Sociology and Social Research #5)
by Thomas ChesneyThis book illustrates the potential for computer simulation in the study of modern slavery and worker abuse, and by extension in all social issues. It lays out a philosophy of how agent-based modelling can be used in the social sciences. In addressing modern slavery, Chesney considers precarious work that is vulnerable to abuse, like sweat-shop labour and prostitution, and shows how agent modelling can be used to study, understand and fight abuse in these areas. He explores the philosophy, application and practice of agent modelling through the popular and free software NetLogo. This topical book is grounded in the technology needed to address the messy, chaotic, real world problems that humanity faces—in this case the serious problem of abuse at work—but equally in the social sciences which are needed to avoid the unintended consequences inherent to human responses. It includes a short but extensive NetLogo guide which readers can use to quickly learn this software and go on to develop complex models. This is an important book for students and researchers of computational social science and others interested in agent-based modelling.
Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016) (Advances in Geographic Information Science)
by Liliana Perez Eun-Kyeong Kim Raja SenguptaThis book contains a selection of papers presented during a special workshop on Complexity Science organized as part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data Era.
Agent-Based Models of Geographical Systems
by Michael Batty Alison J. Heppenstall Andrew T. Crooks Linda M. SeeThis unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions from many of the world's leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.
Agent-Based Semantic Web Service Composition (SpringerBriefs in Electrical and Computer Engineering)
by Sandeep KumarAgent-based Semantic Web Service Composition closely examines the various aspects of SWS composition, and explores the concept that a Multi-Agent system can serve as an SWS composition system in which its agents can interact with one another to satisfy a high-level goal. In addition to surveying various proposed multi-agent-based SWS composition models, the book also highlights the cognitive parameter-based semantic web service selection models that can be used in multi-agent-based SWS composition, and outlines a new negotiation agreement-based SWS composition that can outperform existing techniques. Agent-based Semantic Web Service Composition is intended for researchers and practitioners as a reference guide for optimizing SWS composition and implementing multi-agent systems. Instructors and other academics working in a related field will also find the book invaluable.
Agent-Based and Individual-Based Modeling: A Practical Introduction, Second Edition
by Volker Grimm Steven F. RailsbackThe essential textbook on agent-based modeling—now fully updated and expandedAgent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these systems.Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory.This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more.A hands-on introduction that guides students from conceptual design to computer implementation to analysisFilled with new examples and exercises and compatible with the latest version of NetLogoIdeal for students and researchers across the natural and social sciencesWritten by two leading practitionersSupported by extensive instructional materials at www.railsback-grimm-abm-book.com
Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets: AMEC 2013, Saint Paul, MN, USA, May 6, 2013, TADA 2013, Bellevue, WA, USA, July 15, 2013, and AMEC and TADA 2014, Paris, France, May 5, 2014, Revised Selected Papers (Lecture Notes in Business Information Processing #187)
by Esther David Onn Shehory Sofia Ceppi Verdan Podobnik Valentin Robu Sebastian Stein Ioannis A. VetsikasThis volume contains 12 thoroughly refereed and revised papers detailing recent advances in research on designing trading agents and mechanisms for agent-mediated e-commerce. They were originally presented at three events: the Workshop on Agent-Mediated Electronic Commerce (AMEC 2013), co-located with AAMAS 2013 in Saint Paul, MN, USA, in May 2013; the Workshop on Trading Agent Design and Analysis (TADA 2013), co-located with AAAI 2013 in Bellevue, WA, USA, in July 2013; and the Joint Workshop on Trading Agent Design and Analysis (TADA 2014) and Agent-Mediated Electronic Commerce (AMEC 2014), co-located with AAMAS 2014 in Paris, France, in May 2014. Given the breadth of research topics in this field, the range of topics addressed in these papers is correspondingly broad. These include the study of theoretical issues related to the design of interaction protocols and marketplaces; the design and analysis of automated trading strategies used by individual agents; and the deployment of such strategies, in times as part of an entry to the trading agent competition.
Agent-Oriented Software Engineering: Reflections on Architectures, Methodologies, Languages, and Frameworks
by Onn Shehory Arnon SturmWith this book, Onn Shehory and Arnon Sturm, together with further contributors, introduce the reader to various facets of agent-oriented software engineering (AOSE). They provide a selected collection of state-of-the-art findings, which combines research from information systems, artificial intelligence, distributed systems and software engineering and covers essential development aspects of agent-based systems. The book chapters are organized into five parts. The first part introduces the AOSE domain in general, including introduction to agents and the peculiarities of software engineering for developing MAS. The second part describes general aspects of AOSE, like architectural models, design patterns and communication. Next, part three discusses AOSE methodologies and associated research directions and elaborates on Prometheus, O-MaSE and INGENIAS. Part four then addresses agent-oriented programming languages. Finally, the fifth part presents studies related to the implementation of agents and multi-agent systems. The book not only provides a comprehensive review of design approaches for specifying agent-based systems, but also covers implementation aspects such as communication, standards and tools and environments for developing agent-based systems. It is thus of interest to researchers, practitioners and students who are interested in exploring the agent paradigm for developing software systems.
Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science (Princeton Studies in Complexity #25)
by Joshua M. EpsteinThe Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero. This software individual, or "agent," is endowed with distinct emotional/affective, cognitive/deliberative, and social modules. Grounded in contemporary neuroscience, these internal components interact to generate observed, often far-from-rational, individual behavior. When multiple agents of this new type move and interact spatially, they collectively generate an astonishing range of dynamics spanning the fields of social conflict, psychology, public health, law, network science, and economics.Epstein weaves a computational tapestry with threads from Plato, Hume, Darwin, Pavlov, Smith, Tolstoy, Marx, James, and Dostoevsky, among others. This transformative synthesis of social philosophy, cognitive neuroscience, and agent-based modeling will fascinate scholars and students of every stripe. Epstein's computer programs are provided in the book or on its Princeton University Press website, along with movies of his "computational parables.?Agent_Zero is a signal departure in what it includes (e.g., a new synthesis of neurally grounded internal modules), what it eschews (e.g., standard behavioral imitation), the phenomena it generates (from genocide to financial panic), and the modeling arsenal it offers the scientific community. For generative social science, Agent_Zero presents a groundbreaking vision and the tools to realize it.
Agentenbasierte Schwarmintelligenz
by Tjorben BogonDas autonome Verteilen von inhärenten Systemen ist eine komplexe, nicht immer funktionierende Aufgabe. Naturinspirierte Optimierungsmethoden wie die Partikel Schwarm Optimierung (PSO) sind nur bedingt verteilt parallel berechenbar. Tjorben Bogon entwickelt eine signifikante Verbesserung der PSO, welche auf einer Analyse der autonomen Anpassungs- und Verbesserungsmöglichkeiten von Metaheuristiken basiert. Der Fokus liegt dabei auf der autonomen dynamischen Steuerung und Integration von Zusatzwissen in den aktuellen Optimierungsverlauf. Der Autor untersucht, wie zum einen neues Wissen aus dem Optimierungsverlauf generiert werden kann und zum anderen, wie dieses Wissen verbreitet und in andere Optimierungen eingebunden werden kann. Er analysiert diese Aufgaben unter der Prämisse einer Anbindung eines Agentensystems und zeigt, wie die Optimierung effizienter ausgeführt und wie sie parallel kooperativ durchgeführt werden kann.
Agentensysteme in der Automatisierungstechnik (Xpert.press)
by Peter GöhnerBei modernen automatisierten Systemen gewinnen Anforderungen an die Flexibilität (z. B. Anpassungsfähigkeit, Skalierbarkeit und Integrationsfähigkeit) zunehmend an Bedeutung. Vielfach ist jedoch noch unklar, wie die gewünschte Flexibilität bei der Entwicklung eines automatisierten Systems erzielt und die dadurch entstehenden komplexen Abläufe und Verhaltensweisen beherrscht werden können. Mit Hilfe von Softwareagenten wird es möglich, die notwendige Flexibilität von automatisierten Systemen systematisch zu entwerfen. Im GMA-Fachausschuss 5.15 "Agentensysteme" erarbeiten Fachleute aus Wissenschaft und Industrie Richtlinien zur Entwicklung und Anwendung von Agentensystemen in der Automatisierungstechnik. Im Rahmen dieser Arbeiten sind viele Beiträge zum Stand der Technik bzw. Stand der Wissenschaft von Agentensystemen in der Automatisierungstechnik entstanden, die in diesem Werk zusammengestellt wurden.
Agentforce: Harnessing the Agency of AI to Scale, Grow, and Lead Any Industry
by Martin KihnIntroducing AI agents, the groundbreaking third wave of AI's integration in the workforce Agentforce: Harnessing the Agency of AI to Scale, Grow, and Lead Any Industry tells you how companies can create and control their own AI agents and build a virtual workforce. It goes behind-the-scenes on how Salesforce built a platform to drive AI agents, solving problems like hallucinations and bias through a framework that gives agents strict roles, data sources, actions, guardrails and channels to reach customers. This book draws from extensive research and exclusive access to Salesforce's leaders and their ambitious plan to dominate the race to develop and own the AI agent space. In this book, readers will find information on: AI agents as a “third wave” of AI development that goes far beyond simple chatbots and "co-pilots" through harmonized data, Retrieval Augmented Generation (RAG), and Salesforce's innovative Atlas Reasoning Engine Steps to develop prompt guidance, topic creation (areas of work), explicit instructions, and a menu of actions allowed Salesforce customers, such as Saks and OpenTable, that are already using AI agents with success The effects of AI and automation on the job market Agentforce: Harnessing the Agency of AI to Scale, Grow, and Lead Any Industry is an indispensable, forward-thinking resource on the subject for all leaders in business seeking to supercharge their organizations' initiatives through the latest developments in a rapidly advancing field.
Agents and Artificial Intelligence: 10th International Conference, ICAART 2018, Funchal, Madeira, Portugal, January 16 – 18, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11352)
by Jaap van den Herik Ana Paula RochaThis book contains the revised and extended versions of selected papers from the 10th International Conference, ICAART 2018, held in Funchal, Madeira, Portugal, in January 2018. The 45 full papers together with 42 short papers and 26 Posters were carefully reviewed and selected from 161 initial submissions. The papers are organized in topics such as Agents, Artificial Intelligence, Semantic Web, Multi-Agent Systems, Distributed Problem Solving, Agent Communication and much more.
Agents and Artificial Intelligence: 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11978)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis book contains the revised and extended versions of selected papers from the 11th International Conference on Agents and Artificial Intelligence, ICAART 2019, held in Prague, Czech Republic, in February 2019. Overall, 46 full papers, 66 short papers, and 36 poster papers were carefully reviewed and selected from 202 initial submissions. 17 of the 46 full papers were selected to be included in this volume. These papers deal with topics such as natural language processing, artificial intelligence, and agents.
Agents and Artificial Intelligence: 12th International Conference, ICAART 2020, Valletta, Malta, February 22–24, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12613)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020. Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence.
Agents and Artificial Intelligence: 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers (Lecture Notes in Computer Science #13251)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4–6, 2021.A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and artificial intelligence.
Agents and Artificial Intelligence: 14th International Conference, ICAART 2022, Virtual Event, February 3–5, 2022, Revised Selected Papers (Lecture Notes in Computer Science #13786)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis book contains the revised and extended versions of selected papers from the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, which took place virtually during February 3–5, 2022. The conference was originally planned to take place in Vienna, Austria, but had to change to an online format due to the COVID-19 pandemic.The 9 full papers included in this book were carefully reviewed and selected from 302 submissions. They were organized in topical sections as follows: agents; artificial intelligence.
Agents and Artificial Intelligence: 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers (Lecture Notes in Computer Science #14546)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows: One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.
Agents and Artificial Intelligence: 16th International Conference, ICAART 2024, Rome, Italy, February 24–26, 2024, Revised Selected Papers, Part I (Lecture Notes in Computer Science #15591)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis two part-volume LNCS constitutes the refereed post proceedings of 16th International Conference, ICAART 2024, in Rome, Italy in February 2024. The 24 full papers and 13 short papers included in this book were carefully reviewed and selected from 375 submissions. They cover all aspects of formal methods, with a strong emphasis on promoting their industrial applications and integrating them with practical engineering practices.
Agents and Artificial Intelligence: 16th International Conference, ICAART 2024, Rome, Italy, February 24–26, 2024, Revised Selected Papers, Part II (Lecture Notes in Computer Science #15592)
by Jaap van den Herik Ana Paula Rocha Luc SteelsThis two part-volume LNCS constitutes the refereed post proceedings of 16th International Conference, ICAART 2024, in Rome, Italy in February 2024. The 24 full papers and 13 short papers included in this book were carefully reviewed and selected from 375 submissions. They cover all aspects of formal methods, with a strong emphasis on promoting their industrial applications and integrating them with practical engineering practices.
Agents and Artificial Intelligence: 5th International Conference, ICAART 2013, Barcelona, Spain, February 15-18, 2013. Revised Selected Papers (Communications in Computer and Information Science #449)
by Joaquim Filipe Ana FredThis book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Agents and Artificial Intelligence, ICAART 2013, held in Barcelona, Spain, in February 2013. The 20 revised full papers presented together with one invited paper were carefully reviewed and selected from 269 submissions. The papers are organized in two topical sections on artificial intelligence and on agents.
Agents and Artificial Intelligence: 6th International Conference, ICAART 2014, Angers, France, March 6-8, 2014, Revised Selected Papers (Lecture Notes in Computer Science #8946)
by Joaquim Filipe Jaap van den Herik Béatrice Duval Stephane LoiseauThis book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Agents and Artificial Intelligence, ICAART 2014, held in Angers, France, in March 2014. The 21 revised full papers presented together with one invited paper were carefully reviewed and selected from 225 submissions. The papers are organized in two topical sections on agents and on artificial intelligence.