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"This volume addresses a variety of issues, in particular the emergence of societal phenomena in the interactions of systems of agents (software, robot or human)"--Provided by publisher.
Book Synopsis Handbook of Research on Agent-Based Societies: Social and Cultural Interactions by : Trajkovski, Goran
Download or read book Handbook of Research on Agent-Based Societies: Social and Cultural Interactions written by Trajkovski, Goran and published by IGI Global. This book was released on 2009-02-28 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume addresses a variety of issues, in particular the emergence of societal phenomena in the interactions of systems of agents (software, robot or human)"--Provided by publisher.
Tackling globalization is a great challenge – it is both extremely beneficial and essentially problematic. This comprehensive, multidisciplinary study confronts this ambivalence through the use of computer simulation. It discusses the findings of social interaction and social simulation through the use of understandable global examples. Readers can use this book as a tool to outline significant aspects of intercultural simulation and highlight the issues that need to be considered in the reader’s analysis. The author leads the reader via sequential narration from a colloquial description of intercultural situations to final simulation prototypes; each step is accompanied by descriptive comments and program code. Social Interaction, Globalization and Computer-aided Analysis shows the reader how to acquire intercultural data from seemingly inconceivable information sources. Researchers and software developers engaged in interdisciplinary research projects in the field of Human-Computer Interaction will find this book to be a useful companion in their work. Alexander Osherenko is the founder of the start-up company Socioware Development, which implements psychologically-, sociologically- and culturally-aware software that scrutinizes information based on the findings of the cognitive sciences. Solutions created by Socioware Development can be implemented across a vast spectrum of industries, including car manufacturing, insurance and banking, Internet search engines and e-retailers.
Book Synopsis Social Interaction, Globalization and Computer-Aided Analysis by : Alexander Osherenko
Download or read book Social Interaction, Globalization and Computer-Aided Analysis written by Alexander Osherenko and published by Springer Science & Business Media. This book was released on 2014-01-14 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tackling globalization is a great challenge – it is both extremely beneficial and essentially problematic. This comprehensive, multidisciplinary study confronts this ambivalence through the use of computer simulation. It discusses the findings of social interaction and social simulation through the use of understandable global examples. Readers can use this book as a tool to outline significant aspects of intercultural simulation and highlight the issues that need to be considered in the reader’s analysis. The author leads the reader via sequential narration from a colloquial description of intercultural situations to final simulation prototypes; each step is accompanied by descriptive comments and program code. Social Interaction, Globalization and Computer-aided Analysis shows the reader how to acquire intercultural data from seemingly inconceivable information sources. Researchers and software developers engaged in interdisciplinary research projects in the field of Human-Computer Interaction will find this book to be a useful companion in their work. Alexander Osherenko is the founder of the start-up company Socioware Development, which implements psychologically-, sociologically- and culturally-aware software that scrutinizes information based on the findings of the cognitive sciences. Solutions created by Socioware Development can be implemented across a vast spectrum of industries, including car manufacturing, insurance and banking, Internet search engines and e-retailers.
Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.
Book Synopsis Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications by : Trajkovski, Goran
Download or read book Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications written by Trajkovski, Goran and published by IGI Global. This book was released on 2010-11-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.
This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.
Book Synopsis Simulating Social Complexity by : Bruce Edmonds
Download or read book Simulating Social Complexity written by Bruce Edmonds and published by Springer. This book was released on 2017-11-24 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines all aspects of using agent or individual-based simulation. This approach represents systems as individual elements having their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes this "social" is that it can represent an observed society. Social systems include all those systems where the components have individual agency but also interact with each other. This includes human societies and groups, but also increasingly socio-technical systems where the internet-based devices form the substrate for interaction. These systems are central to our lives, but are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible but, on the other hand, natural language approaches are also inadequate for relating intricate cause and effect. This is why individual and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. This handbook marks the maturation of this new field. It brings together summaries of the best thinking and practices in this area from leading researchers in the field and constitutes a reference point for standards against which future methodological advances can be judged. This second edition adds new chapters on different modelling purposes and applying software engineering methods to simulation development. Revised existing content will keep the book up-to-date with recent developments. This volume will help those new to the field avoid "reinventing the wheel" each time, and give them a solid and wide grounding in the essential issues. It will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introduction, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section on ‘Further Reading’. Whilst sometimes covering technical aspects, this second edition of Simulating Social Complexity is designed to be accessible to a wide range of researchers, including both those from the social sciences as well as those with a more formal background. It will be of use as a standard reference text in the field and also be suitable for graduate level courses.
Uncovers the growing and expanding phenomenon of human behavior, social constructs, and communication in online environments.
Book Synopsis Social Computing: Concepts, Methodologies, Tools, and Applications by : Dasgupta, Subhasish
Download or read book Social Computing: Concepts, Methodologies, Tools, and Applications written by Dasgupta, Subhasish and published by IGI Global. This book was released on 2009-11-30 with total page 2409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovers the growing and expanding phenomenon of human behavior, social constructs, and communication in online environments.
The last three decades have witnessed a period of growing archaeological activity in Greece that have enhanced our awareness of the diversity and variability of ancient communities. New sites offer rich datasets from many aspects of material culture that challenge traditional perceptions and suggest complex interpretations of the past. This volume provides a synthetic overview of recent developments in the study of Neolithic Greece and reconsiders the dynamics of human-environment interactions while recording the growing diversity in layers of social organization. It fills an essential lacuna in contemporary literature and enhances our understanding of the Neolithic communities in the Greek Peninsula.
Book Synopsis Communities, Landscapes, and Interaction in Neolithic Greece by : Apostolos Sarris
Download or read book Communities, Landscapes, and Interaction in Neolithic Greece written by Apostolos Sarris and published by Berghahn Books. This book was released on 2018-08-17 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last three decades have witnessed a period of growing archaeological activity in Greece that have enhanced our awareness of the diversity and variability of ancient communities. New sites offer rich datasets from many aspects of material culture that challenge traditional perceptions and suggest complex interpretations of the past. This volume provides a synthetic overview of recent developments in the study of Neolithic Greece and reconsiders the dynamics of human-environment interactions while recording the growing diversity in layers of social organization. It fills an essential lacuna in contemporary literature and enhances our understanding of the Neolithic communities in the Greek Peninsula.
"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Book Synopsis Machine Learning: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources
Download or read book Machine Learning: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2011-07-31 with total page 2174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Welcome to the proceedings of the 9th International Conference on Intelligent Virtual Agents, held September 14–16, 2009 in Amsterdam, The Netherlands. Intelligent virtual agents (IVAs) are interactive characters that exhibit hum- like qualities and communicate with humans or with each other using natural human modalities such as speech and gesture. They are capable of real-time perception, cognition and action, allowing them to participate in a dynamic physical and social environment. IVA is an interdisciplinary annual conference and the main forum for p- senting research on modeling, developing and evaluating IVAs with a focus on communicative abilities and social behavior. The development of IVAs requires expertise in multimodal interaction and several AI ?elds such as cognitive m- eling, planning, vision and natural language processing. Computational models are typically based on experimental studies and theories of human–human and human–robot interaction; conversely, IVA technology may provide interesting lessons for these ?elds. The realization of engaging IVAs is a challenging task, so reusable modules and tools are of great value. The ?elds of application range from robot assistants, social simulation and tutoring to games and artistic - ploration.
Book Synopsis Intelligent Virtual Agents by : Zsófia Ruttkay
Download or read book Intelligent Virtual Agents written by Zsófia Ruttkay and published by Springer Science & Business Media. This book was released on 2009-09-03 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the proceedings of the 9th International Conference on Intelligent Virtual Agents, held September 14–16, 2009 in Amsterdam, The Netherlands. Intelligent virtual agents (IVAs) are interactive characters that exhibit hum- like qualities and communicate with humans or with each other using natural human modalities such as speech and gesture. They are capable of real-time perception, cognition and action, allowing them to participate in a dynamic physical and social environment. IVA is an interdisciplinary annual conference and the main forum for p- senting research on modeling, developing and evaluating IVAs with a focus on communicative abilities and social behavior. The development of IVAs requires expertise in multimodal interaction and several AI ?elds such as cognitive m- eling, planning, vision and natural language processing. Computational models are typically based on experimental studies and theories of human–human and human–robot interaction; conversely, IVA technology may provide interesting lessons for these ?elds. The realization of engaging IVAs is a challenging task, so reusable modules and tools are of great value. The ?elds of application range from robot assistants, social simulation and tutoring to games and artistic - ploration.
In this book Lee Rudolph brings together international contributors who combine psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes. Bridging the gap between the fields with an imaginative and stimulating collection of contributed chapters, the volume updates the current research on the subject, which until now has been rather limited, focussing largely on the use of statistics. Qualitative Mathematics for the Social Sciences contains a variety of useful illustrative figures, introducing readers from the social sciences to the rich contribution that modern mathematics has made to our knowledge of logic, structures, and dynamic systems. A beguiling array of conceptual systems, topological models and fractals are discussed which transcend the application of statistics, and bring a fresh perspective to the study of social representations. The wide selection of qualitative mathematical methodologies discussed in this volume will be hugely valuable to higher-level undergraduate and postgraduate students of psychology, sociology and mathematics. It will also be useful for researchers, academics and professionals from the social sciences who want a firmer grasp on the use of qualitative mathematics.
Book Synopsis Qualitative Mathematics for the Social Sciences by : Lee Rudolph
Download or read book Qualitative Mathematics for the Social Sciences written by Lee Rudolph and published by Routledge. This book was released on 2013-01-03 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book Lee Rudolph brings together international contributors who combine psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes. Bridging the gap between the fields with an imaginative and stimulating collection of contributed chapters, the volume updates the current research on the subject, which until now has been rather limited, focussing largely on the use of statistics. Qualitative Mathematics for the Social Sciences contains a variety of useful illustrative figures, introducing readers from the social sciences to the rich contribution that modern mathematics has made to our knowledge of logic, structures, and dynamic systems. A beguiling array of conceptual systems, topological models and fractals are discussed which transcend the application of statistics, and bring a fresh perspective to the study of social representations. The wide selection of qualitative mathematical methodologies discussed in this volume will be hugely valuable to higher-level undergraduate and postgraduate students of psychology, sociology and mathematics. It will also be useful for researchers, academics and professionals from the social sciences who want a firmer grasp on the use of qualitative mathematics.
This 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.
Book Synopsis Agent-Based Computational Economics by : Shu-Heng Chen
Download or read book Agent-Based Computational Economics written by Shu-Heng Chen and published by Routledge. This book was released on 2017-09-19 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
