{"product_id":"machine-learning-perspectives-of-agentbased-models-practical-applications-to-economic-crises-and-pandemics-with-python-r-netlogo-and-julia-9783031733536","title":"Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 377 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 19 August 2025\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003emso-fareast-language: EN-US;\"\u0026gt;This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031733536\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2025 ed.\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":47836752707834,"sku":"9783031733536","price":99.95,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1760746677756_book.jpg?v=1760781620","url":"https:\/\/shulphink.com\/products\/machine-learning-perspectives-of-agentbased-models-practical-applications-to-economic-crises-and-pandemics-with-python-r-netlogo-and-julia-9783031733536","provider":"Shulph Ink","version":"1.0","type":"link"}