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Agent-Based Approaches in Economic and Social Complex Systems VII
Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology, and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Seventh International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Osaka, Japan, in 2012. At the workshop, 24 reviewed full papers were presented, and of those, 17 were selected to be included in this volume. The papers are divided into two groups as "Fundamentals of Agent-Based Modeling" and "Applications of Agent-Based Modeling".
Agent-Based Approaches in Economic and Social Complex Systems VIII
Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Eighth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Tokyo, Japan, in 2013. At the workshop, 23 reviewed full papers were presented and of those, 13 were selected to be included in this volume.
New Frontiers in Artificial Intelligence
This book constitutes extended, revised, and selected papers from the 10th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2018. It was held in November 2018 in Yokohama, Japan. The 28 paper full papers and 5 short papers were carefully selected from 97 submissions. The papers selected cover topics in Artificial Intelligence, such as AI and law, business intelligence, human intelligence, logic and engineering, and data analytics and applications.
New Frontiers in Artificial Intelligence
This book constitutes extended, revised and selected papers from the 9th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2017. It was held in November 2017 in Tokyo, Japan. The 22 papers were carefully selected from 109 submissions and are organized in sections on juris-informatics, skill science, artificial intelligence of and for business, logic and engineering of natural language semantics, argument for agreement and assurance, scientific document analysis, knowledge explication for industry.
Non-Cognitive Factors and Learning within a Business Simulation
Serious games can provide a convenient and straightforward access to complex knowledge for all age groups. However, learning achievements depend largely on learners’ non-cognitive factor disposition. With the aim of combining the fields of serious games and non-cognitive factors, this research focuses on the use of a business simulation which conveys change management insights. Business simulations are a subset of serious games and are perceived as a non-traditional learning method.The objectives of this work are versatile: (1) developing a scale, which measures learners’ knowledge and skills increase gained from a business simulation, (2) investigating the effects of non-cognitive factors on learning in this business simulation environment and (3) exploring the moderating role of team preference in this type of learning setting. Using the newly developed scale, this work finds that learners' skills and knowledge states are more pronounced after playing the business simulation.
New Frontiers in Artificial Intelligence
This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2016 Workshops, LENLS 13, HAT-MASH, AI-Biz, JURISIN and SKL, held in Kanagawa, Japan, in November 1016. The 22 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. LENLS 13 was the 13th event in the series, and it focused on the formal and theoretical aspects of natural language. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop recognized internationally in the formal syntax-semantics-pragmatics community. It has been bringing together for discussion and interdisciplinary communication researchers working on for...
Echo Chamber and Polarization in Social Media
This book addresses increasingly relevant social problems enabled by social media through the lens of system science research and modeling. Instead of evaluating existing patterns from existing social media data, the book focuses on exploring the possibility of various policies. Specifically, it provides fresh insight into the political echo chamber and polarization in social media using agent-based modeling and scenario analysis. The book contains a practical framework to study the factors influencing echo chambers and polarization formation occurring in social media communication. By modeling individual social media users' information consumption, the influence of various behaviors and policies are captured as macro-phenomena. The book also introduces a comprehensive agent-based reinterpretation of the Zaller model, a classic in public opinion research. In addition, the book demonstrates two real-life applications of the model using empirical observations: resolving the conflicting observations of the online echo chamber effect, and modeling the influence of vaccine-related Facebook pages on users’ opinions about vaccination.
Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014
The proceedings of the international conference “SMSEC2014”, a joint conference of the first “Social Modeling and Simulations” and the 10th “Econophysics Colloquium”, held in Kobe in November 2014 with 174 participants, are gathered herein. Cutting edge scientific researches on various social phenomena are reviewed. New methods for analysis of big data such as financial markets, automobile traffics, epidemic spreading, world-trades and social media communications are provided to clarify complex interaction and distributions underlying in these social phenomena. Robustness and fragility of social systems are discussed based on agent models and complex network models. Techniques about high performance computers are introduced for simulation of complicated social phenomena. Readers will feel the researchers minds that deep and quantitative understanding will make it possible to realize comprehensive simulations of our whole society in the near future, which will contribute to wide fields of industry also to scientific policy decision.
