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Author: Alex Nicholls
Publisher: Springer
ISBN: 1137506806
Category : Political Science
Languages : en
Pages : 262
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Book Description
This book is open access under a CC BY license. Interest in social innovation continues to rise, from governments setting up social innovation 'labs' to large corporations developing social innovation strategies. Yet theory lags behind practice, and this hampers our ability to understand social innovation and make the most of its potential. This collection brings together work by leading social innovation researchers globally, exploring the practice and process of researching social innovation, its nature and effects. Combining theoretical chapters and empirical studies, it shows how social innovation is blurring traditional boundaries between the market, the state and civil society, thereby developing new forms of services, relationships and collaborations. It takes a critical perspective, analyzing potential downsides of social innovation that often remain unexplored or are glossed over, yet concludes with a powerful vision of the potential for social innovation to transform society. It aims to be a valuable resource for students and researchers, as well as policymakers and others supporting and leading social innovation.
Author: Federico Cecconi
Publisher: Springer
ISBN: 3319239384
Category : Science
Languages : en
Pages : 209
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Book Description
This book studies social phenomena in a new way, by making judicious use of computer technology. The book addresses the entire spectrum of classic studies in social science, from experiments to the computational models, with a multidisciplinary approach. The book is suitable for those who want to get a picture of what it means to do social research today, and also to get an indication of the major open issues. The book is connected to a database of code for simulations, experimental data and allows to activate a subscription to a teaching tool using NetLogo, a programming language widely used in the social studies. The authors are researchers with first-hand experience research projects, both basic and applied. The work will be useful for those who want to understand more of the social, economic and political phenomena via computer applications.
Author: Alex Nicholls
Publisher: Springer
ISBN: 1137506806
Category : Political Science
Languages : en
Pages : 262
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Book Description
This book is open access under a CC BY license. Interest in social innovation continues to rise, from governments setting up social innovation 'labs' to large corporations developing social innovation strategies. Yet theory lags behind practice, and this hampers our ability to understand social innovation and make the most of its potential. This collection brings together work by leading social innovation researchers globally, exploring the practice and process of researching social innovation, its nature and effects. Combining theoretical chapters and empirical studies, it shows how social innovation is blurring traditional boundaries between the market, the state and civil society, thereby developing new forms of services, relationships and collaborations. It takes a critical perspective, analyzing potential downsides of social innovation that often remain unexplored or are glossed over, yet concludes with a powerful vision of the potential for social innovation to transform society. It aims to be a valuable resource for students and researchers, as well as policymakers and others supporting and leading social innovation.
Author: Bruce Edmonds
Publisher: Springer
ISBN: 3319669486
Category : Computers
Languages : en
Pages : 833
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Book Description
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.
Author: Vittorio Murino
Publisher: Academic Press
ISBN: 0128092807
Category : Computers
Languages : en
Pages : 440
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Book Description
Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. - Presents the first book to cover the topic of modeling and analysis of groups in computer vision - Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms - Focuses on group and crowd analysis metrics - Discusses real industrial systems dealing with the problem of analyzing groups and crowds
Author: Eugénio Oliveira
Publisher: Springer
ISBN: 3319653407
Category : Computers
Languages : en
Pages : 908
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Book Description
This book constitutes the refereed proceedings of the 18th EPIA Conference on Artificial Intelligence, EPIA 2017, held in Porto, Portugal, in September 2017. The 69 revised full papers and 2 short papers presented were carefully reviewed and selected from a total of 177 submissions. The papers are organized in 16 tracks devoted to the following topics: agent-based modelling for criminological research (ABM4Crime), artificial intelligence in cyber-physical and distributed embedded systems (AICPDES), artificial intelligence in games (AIG), artificial intelligence in medicine (AIM), artificial intelligence in power and energy systems (AIPES), artificial intelligence in transportation systems (AITS), artificial life and evolutionary algorithms (ALEA), ambient intelligence and affective environments (AmIA), business applications of artificial intelligence (BAAI), intelligent robotics (IROBOT), knowledge discovery and business intelligence (KDBI), knowledge representation and reasoning (KRR), multi-agent systems: theory and applications (MASTA), software engineering for autonomous and intelligent systems (SE4AIS), social simulation and modelling (SSM), and text mining and applications (TeMA).
Author: Xiaoling Shu
Publisher: University of California Press
ISBN: 0520292308
Category : Social Science
Languages : en
Pages : 263
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Book Description
Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries
Author: Takao Terano
Publisher: Springer
ISBN: 3540455485
Category : Computers
Languages : en
Pages : 559
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Book Description
This book constitutes the thoroughly refereed joint post-proceedings of five international workshops organized by the Japanese Society of Artificial Intelligence, JSAI in 2001.The 75 revised papers presented were carefully reviewed and selected for inclusion in the volume. In accordance with the five workshops documented, the book offers topical sections on social intelligence design, agent-based approaches in economic and complex social systems, rough set theory and granular computing, chance discovery, and challenges in knowledge discovery and data mining.
Author: Richard A. Settersten Jr.
Publisher: Elsevier
ISBN: 0080546196
Category : Social Science
Languages : en
Pages : 543
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Book Description
New Frontiers in Socialization
Author: Gianfranco Minati
Publisher: MDPI
ISBN: 3038424404
Category : Mathematics
Languages : en
Pages : 221
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Book Description
This book is a printed edition of the Special Issue "Second Generation General System Theory: Perspectives in Philosophy and Approaches in Complex Systems" that was published in Systems
Author: Juan A. Barceló
Publisher: Springer
ISBN: 3319314815
Category : Computers
Languages : en
Pages : 405
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Book Description
This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Conference 2014 in Barcelona, Spain. Only papers on the simulation of historical processes have been selected, the aim being to present theories and methods of computer simulation that can be relevant to understanding the past. Applications range from the Paleolithic and the origins of social life up to the Roman Empire and Early Modern societies. Case studies from Europe, America, Africa and Asia have been selected for publication. The extensive introduction offers a thorough review of the computer simulation of social dynamics in past societies as a means of understanding human history. This book will be of great interest to researchers in the social sciences, archaeology, evolutionary anthropology, and social history.
