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.
İçerik tablosu
Chapter1. How Social Simulation Could Help Social Science Deal With Context.- Chapter2. Agent-Based Modelling With and Without Methodolog-ical Individualism.- Chapter3. Inflation expectations in a small open economy.- Chapter4. Causation in Agent-based Computational Social Science.- Chapter5. Times of Crisis and Labour Market Reforms.- Chapter6. Selecting the Right Game Concept for Social Simulation of Real-World Systems.- Chapter7. Physician, Heal Thyself! The Prospects for Using ABM to Target Interventions in ABM Engagement.- Chapter8. So You Got Two Ologies? The Challenge of Empirically Modelling Medical Prescribing Behaviour and its E ect on Anti-Microbial Resistance as a Case Study.- Chapter9. Ethics-based Cooperation in Multi-Agent Systems.- Chapter10. Putting words into action: interdisciplinary collaboration in computational modelling.- Chapter11. Multi-scale validation of an agent-based housing market model.- Chapter12. Towards Agent-based Models of Rumours in Organizations: ASocial Practice Theory Approach.- Chapter13. Fixing sample biases in experimental data using agent-based modelling.- Chapter14. Simulation of behavioural dynamics within urban gardening communities.- Chapter15. Unleashing the Agents: From a Descriptive to an Explanatory Perspective in Agent-based Modelling.- Chapter16. Participatory policy development with agent-based modeling overcoming the building energy-e ciency gap.- Chapter17. Go Big Or Go Home? Simulating the E ect of Publishing Adopter Numbers for Two-Sided Platforms.- Chapter18. Simulations with Values.- Chapter19. To stay or to leave? Arti cial Sociality in GRASP world, an agent-based model.- Chapter20. Simulating a direct energy market: products, performance, and social influence.- Chapter21. Looking into the educational mirror: why computation is hardly being taught in the social sciences, and what to do about it.- Chapter22. E ects of heterogeneous strategy composition on cooperation in the repeated public good game.- Chapter23. A Health Policy Simulation and Gaming Model of Ebola Haemorrhagic Fever and Zika Fever.- Chapter24. An Agent Based Model for tertiary educational choices in Italy.- Chapter25. (Ir-)Rationality of Teams: A process-oriented model of team cognition emergence.- Chapter26. Early Holocene Socio-Ecological Dynamics in the Iberian Peninsula: A Network Approach.- Chapter27. Influences of Innovation in Market Value.- Chapter28. Making use of Fuzzy Cognitive Maps in Agent-Based Modeling.- Chapter29. Policy Option Simulation in Socio-Ecological Systems.- Chapter30. An Integrated Model to Assess the Impacts of Dams in Transboundary River Basins.- Chapter31. Norms in social simulation: balancing between realism and scalability.- Chapter32. Collaborating like professionals: integrating Net Logo and Git Hub.- Chapter33. Kickstarting cooperation: experience-weighted attraction learning and norm conformity in a step-level public goods game.- Chapter34. Using Agent-Based Simulation to understand the role of values in policy-making.- Chapter35. A Philosophical Framework of Shared Worlds and Cultural Signi cance for Social Simulation.- Chapter36. Students of Religion Studying Social Conflict through Simulation and Modelling – An Exploration.- Chapter37. Using Cognitive Work Analysis to inform agent-based modelling of automated driving.- Chapter38. Modelling the ‘captain’s nose’: Exploring the shift towards autonomous shing with social simulation.- Chapter39. Conceptualising Arti cial Anasazi with an Explicit Knowledge Representation and Population Model.- Chapter40. Modeling Radicalization and Violent Extremism.- Chapter41. The Arti cial Society Analytics Platform.- Chapter42. Teaching the Complexity of Urban Systems with Participatory Social Simulation.- Chapter43. Enabling innovation within public research institutes- A modelling approach.- Chapter44. Using Social Simulations in Interdisciplinary Primary Education – an Expert Appraisal.- Chapter45. Switching Costs in Turbulent Task Environments.- Chapter46. Governing the Digital Society. Challenges for Agent-Based Modelling.- Chapter47. Towards modelling interventions in small scale sheries.- Chapter48. Population characteristics and the decision to convert to organic farming.
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