TY - BOOK AU - Nardin,Luis Gustavo AU - Antunes,Luis ED - MABS (Workshop) TI - Multi-agent based simulation XVII: International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised selected papers T2 - Lecture notes in computer science, SN - 9783319674773 AV - QA76.76.I58 U1 - 006.3/0285436 23 PY - 2017/// CY - Cham, Switzerland PB - Springer KW - Multiagent systems KW - Congresses KW - Computer simulation KW - Systèmes multiagents (Intelligence artificielle) KW - Congrès KW - Simulation par ordinateur KW - Computer modelling & simulation KW - bicssc KW - User interface design & usability KW - Software Engineering KW - Artificial intelligence KW - Computers KW - Computer Simulation KW - bisacsh KW - Machine Theory KW - Software Development & Engineering KW - General KW - Intelligence (AI) & Semantics KW - fast KW - Congress KW - proceedings (reports) KW - aat KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf N1 - Includes author index; Modeling and analyzing multi-agent systems -- Applying agent-based simulation techniques to real-world problems -- The confluence of socio-technical- natural sciences and multi-agents systems with a strong application/empirical vein -- Exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences -- Social theories as an inspiration to new frameworks and developmentsin multi-agent systems N2 - This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Multi-Agent-Based Simulation, MABs 2016, held in Singapore, in May 2016. The workshop was held in Conjunction with the 15th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2016. The 10 revised full papers included in this volume were carefully selected from 15 submissions. The topic of the papers is about modeling and analyzing multi-agent systems and applying agent-based simulation techniques to real-world problems, focusing on the confluence of socio-technical- natural sciences and multi-agents systems with a strong application/empirical vein. Special emphasis is given on exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences and on using social theories as an inspiration to new frameworks and developments in multi-agent systems UR - https://link.springer.com/10.1007/978-3-319-67477-3 ER -