{"product_id":"computational-experiments","title":"Computational Experiments","description":"\u003cp\u003e\u003cb\u003eA methodological framework for bridging the gap between Artificial Intelligence and Social Sciences\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eComplex cyber-physical-social systems demand rigorous analysis, design, regulation and validation methods that traditional approaches cannot provide. \u003ci\u003eComputational Experiments: A Bridge between Artificial Intelligence and Social Sciences\u003c\/i\u003e delivers a systematic methodology spanning modeling, simulation, and validation of intelligent systems. Written by leading researchers in complex systems and artificial intelligence, this work provides both theoretical foundations and practical frameworks for studying intricate social and physical systems. \u003c\/p\u003e\u003cp\u003eThe book covers the artificial society modeling framework across four levels: AI agents and prospect theory, learning mechanisms of AI agents, AI society and social networks, and integration with environmental systems. It addresses how computational experiments incorporate generative agents and large language models, and explores policy sandboxes for decision analysis and social system behavior prediction in complex contexts. \u003c\/p\u003e\u003cp\u003eThe book also discusses: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eComprehensive coverage of computational experiment methodology including origins, development history, and knowledge frameworks essential for practical applications\u003c\/li\u003e\n\u003cli\u003eSocial simulation technology foundations providing unique insights into simulating and deducing complex social systems from interdisciplinary research perspectives\u003c\/li\u003e\n\u003cli\u003eDetailed exploration of AI agent architectures incorporating prospect theory, reinforcement learning mechanisms, and multi-agent coordination strategies for system modeling\u003c\/li\u003e\n\u003cli\u003eFrameworks for integrating virtual and real-world intelligence to improve predictive capabilities and support decision-making in complex operational environments\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eDesigned for professors, researchers, and graduate students in computer science, artificial intelligence, social computing, and systems engineering, this book also serves professionals in policy simulation, strategic planning, and smart system development who require rigorous methods for validating intelligent system behavior.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Product","offer_id":57533283664216,"sku":"9781394377459","price":136.99,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394377459.jpg?v=1781784096","url":"https:\/\/agendabookshop.com\/products\/computational-experiments","provider":"Agenda Bookshop","version":"1.0","type":"link"}