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Beyond the Brain
Cognitive science faces a major methodological and conceptual change since the 90's. Whereas the brain was traditionally conceived as being the only seat of intelligence, many researches emphasize the entrenchment of the brain in body, context and culture. In 2006, a conference was held at the Université du Québec à Montréal (UQAM) and allowed researchers from various fields to interact and discuss such issues. Cognitio 2006 was an occasion for philosophers, cognitive scientists and biologists to present the latest developments in their discipline, and this book aims at providing a general overview of current research on embodied, situated and distributed cognition.
Models of Science Dynamics
Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fill...
An Introduction to Agent-Based Modeling
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a...
Becoming Eloquent
Few topics of scientific enquiry have attracted more attention in the last decade than the origin and evolution of language. Few have offered an equivalent intellectual challenge for interdisciplinary collaborations between linguistics, cognitive science, prehistoric archaeology, palaeoanthropology, genetics, neurophysiology, computer science and robotics. The contributions presented in this volume reflect the multiplicity of interests and research strategy used to tackle this complex issue, summarize new relevant data and emerging theories, provide an updated view of this interdisciplinary venture, and, when possible, seek a future in this broad field of study.
Introduction to Computational Social Science
This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.
Computational Conflict Research
This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated co...
Connected Minds
The theme for this volume is social cognition, construed from a psychological and collective point of view. From the psychological point of view, the question is to understand how the human mind processes social information; how it encodes, stores and uses it in the social context. From a collective point of view, the question is to understand how individual cognition is influenced (improved, increased or impaired) by social interactions, for instance in communicating and collaborating with intelligent agents. These two dimensions of social cognition are obviously interdependent: the psychological dimension makes the collective dimension possible, which can in return modify the psychological...
Agent-Based Modelling of Worker Exploitation
This 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.
Advances in Social Simulation
This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policy making. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science, and social simulation education. This collection gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policy making whereby modelling and the behavior of complex systems is key. The book will appeal to students, researchers and professionals in the various fields.
