{"product_id":"cultural-algorithms-9781119403081","title":"Cultural Algorithms","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA thorough look at how societies can use cultural algorithms to understand human social evolution\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFor those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, \u003ci\u003eCultural Algorithms: Tools to Model Complex Dynamic Social Systems\u003c\/i\u003e, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work.\u003c\/p\u003e \u003cp\u003eFor such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms.\u003c\/p\u003e \u003cp\u003eIn addition to these topics, the book covers topics including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe CAT system \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of Contributors ix\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 System Design Using Cultural Algorithms \u003c\/b\u003e\u003cb\u003e1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRobert G. Reynolds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003eThe Cultural Engine 4\u003c\/p\u003e \u003cp\u003eOutline of the Book: Cultural Learning in Dynamic Environments 6\u003c\/p\u003e \u003cp\u003eReferences 10\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Cultural Algorithm Toolkit System \u003c\/b\u003e\u003cb\u003e11\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eThomas Palazzolo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eCAT Overview 11\u003c\/p\u003e \u003cp\u003eDownloading and Running CAT 14\u003c\/p\u003e \u003cp\u003eThe Repast Simphony System 15\u003c\/p\u003e \u003cp\u003eKnowledge Sources 15\u003c\/p\u003e \u003cp\u003eFitness Functions 18\u003c\/p\u003e \u003cp\u003eConesWorld 19\u003cbr\u003e\u003cbr\u003eThe Logistics Function 23\u003c\/p\u003e \u003cp\u003eCAT Sample Runs: ConesWorld 24\u003c\/p\u003e \u003cp\u003eCAT Sample Runs: Other Problems 32\u003c\/p\u003e \u003cp\u003eReference 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Social Learning in Cultural Algorithms with Auctions \u003c\/b\u003e\u003cb\u003e35\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRobert G. Reynolds and Leonard Kinnaird-Heether\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 35\u003c\/p\u003e \u003cp\u003eCultural Algorithms 37\u003c\/p\u003e \u003cp\u003eSubcultured Multi-Layered, Deep Heterogeneous Networks 40\u003c\/p\u003e \u003cp\u003eAuction Mechanisms 42\u003c\/p\u003e \u003cp\u003eThe Cultural Engine 45\u003c\/p\u003e \u003cp\u003eConesWorld 47 \u003cbr\u003e\u003cbr\u003eExperimental Framework 50\u003c\/p\u003e \u003cp\u003eResults 50\u003c\/p\u003e \u003cp\u003eConclusions 54\u003c\/p\u003e \u003cp\u003eReferences 55\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Using Common Value Auction in Cultural Algorithm to Enhance Robustness and Resilience of Social Knowledge Distribution Systems \u003c\/b\u003e\u003cb\u003e57\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAnas AL-Tirawi and Robert G. Reynolds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eCultural Algorithms 57\u003c\/p\u003e \u003cp\u003eCommon Value Auction 62\u003c\/p\u003e \u003cp\u003eConesWorld 64\u003c\/p\u003e \u003cp\u003eDynamic Experimental Framework 66\u003c\/p\u003e \u003cp\u003eResults 67\u003c\/p\u003e \u003cp\u003eConclusions and Future Work 73\u003c\/p\u003e \u003cp\u003eReferences 73\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Optimizing AI Pipelines: A Game-Theoretic Cultural Algorithms Approach \u003c\/b\u003e\u003cb\u003e75\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eFaisal Waris and Robert G. Reynolds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 75\u003c\/p\u003e \u003cp\u003eOverview of Cultural Algorithms 77\u003c\/p\u003e \u003cp\u003eCA Knowledge Distribution Mechanisms 78\u003c\/p\u003e \u003cp\u003ePrimer on Game Theory 80\u003c\/p\u003e \u003cp\u003eGame- Theoretic Knowledge Distribution 81\u003c\/p\u003e \u003cp\u003eContinuous-Action Iterated Prisoner’s Dilemma 82\u003c\/p\u003e \u003cp\u003eTest Results: Benchmark Problem 89\u003c\/p\u003e \u003cp\u003eTest Results: Computer Vision Pipeline 92\u003c\/p\u003e \u003cp\u003eConclusions 95\u003c\/p\u003e \u003cp\u003eReferences 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Cultural Algorithms for Social Network Analysis: Case Studies in Team Formation \u003c\/b\u003e\u003cb\u003e98\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKalyani Selvarajah, Ziad Kobti, and Mehdi Kargar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 98\u003c\/p\u003e \u003cp\u003eApplication of Social Network 99\u003c\/p\u003e \u003cp\u003eForming Successful Teams 99\u003c\/p\u003e \u003cp\u003eFormulating TFP 100\u003c\/p\u003e \u003cp\u003eCommunication Cost 101\u003c\/p\u003e \u003cp\u003ePersonnel Cost 101\u003c\/p\u003e \u003cp\u003eDistance Cost 102\u003c\/p\u003e \u003cp\u003eWorkload Balance 102\u003c\/p\u003e \u003cp\u003eWhy Artificial Intelligence? 103\u003c\/p\u003e \u003cp\u003eCultural Algorithms 103\u003c\/p\u003e \u003cp\u003eForming Teams in Coauthorship Network 104\u003c\/p\u003e \u003cp\u003eIndividual Representation 105\u003c\/p\u003e \u003cp\u003eFitness Function 107\u003c\/p\u003e \u003cp\u003eBelief Space 107\u003c\/p\u003e \u003cp\u003eDataset and Observations 108\u003c\/p\u003e \u003cp\u003eSkill Frequency 108\u003c\/p\u003e \u003cp\u003eForming Teams in Health-care Network 108\u003c\/p\u003e \u003cp\u003eIndividual Representation 113\u003c\/p\u003e \u003cp\u003eFitness Function 114\u003c\/p\u003e \u003cp\u003eDataset and Observation 115\u003c\/p\u003e \u003cp\u003eSummary and Conclusion 117\u003c\/p\u003e \u003cp\u003eReferences 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Evolving Emergent Team Strategies in Robotic Soccer using Enhanced Cultural Algorithms \u003c\/b\u003e\u003cb\u003e119\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMostafa Z. Ali, Mohammad I. Daoud, Rami Alazrai, and Robert G. Reynolds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 119\u003c\/p\u003e \u003cp\u003eRelated Work 121\u003c\/p\u003e \u003cp\u003eThe 2D Soccer Simulation Test Bed 122\u003c\/p\u003e \u003cp\u003eEvolution of Team Strategies via Cultural Algorithm 124\u003c\/p\u003e \u003cp\u003eExperiments and Analysis of Results 132\u003c\/p\u003e \u003cp\u003eConclusion 138\u003c\/p\u003e \u003cp\u003eReferences 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 The Use of Cultural Algorithms to Learn the Impact of Climate on Local Fishing Behavior in Cerro Azul, Peru \u003c\/b\u003e\u003cb\u003e143\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKhalid Kattan, Robert G. Reynolds, and Samuel Dustin Stanley\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 143\u003c\/p\u003e \u003cp\u003eAn Overview of the Cerro Azul Fishing Dataset 143\u003c\/p\u003e \u003cp\u003eData Mining at the Macro, Meso, and Micro Levels 148\u003c\/p\u003e \u003cp\u003eCultural Algorithms and Multiobjective Optimization 149\u003c\/p\u003e \u003cp\u003eThe Artisanal Fishing Model 153\u003c\/p\u003e \u003cp\u003eThe Experimental Results 159\u003c\/p\u003e \u003cp\u003eStatistical Validation 163\u003c\/p\u003e \u003cp\u003eConclusions and Future Work 166\u003c\/p\u003e \u003cp\u003eReferences 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer \u003c\/b\u003e\u003cb\u003e169\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSamuel Dustin Stanley, Khalid Kattan, and Robert G. Reynolds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 169\u003c\/p\u003e \u003cp\u003eMultiobjective Optimization 170\u003c\/p\u003e \u003cp\u003eCultural Algorithms 171\u003c\/p\u003e \u003cp\u003eCAPSO Knowledge Structures 174\u003c\/p\u003e \u003cp\u003eTracking Knowledge Source Progress (Other than Topographic) 176\u003c\/p\u003e \u003cp\u003eCAPSO Algorithm Pseudocode 177\u003c\/p\u003e \u003cp\u003eMultiple Runs 180\u003c\/p\u003e \u003cp\u003eComparison of Benchmark Problems 180\u003c\/p\u003e \u003cp\u003eOverall Summary of Results 192\u003c\/p\u003e \u003cp\u003eOther Applications 192\u003c\/p\u003e \u003cp\u003eReferences 193\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Exploring Virtual Worlds with Cultural Algorithms: Ancient Alpena–Amberley Land Bridge \u003c\/b\u003e\u003cb\u003e195\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eThomas Palazzolo, Robert G. Reynolds, and Samuel Dustin Stanley\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eArchaeological Challenges 195\u003c\/p\u003e \u003cp\u003eGeneralized Framework 198\u003c\/p\u003e \u003cp\u003eThe Land Bridge Hypothesis 199\u003c\/p\u003e \u003cp\u003eOrigin and Form 204\u003c\/p\u003e \u003cp\u003ePutting Data to Work 205\u003c\/p\u003e \u003cp\u003ePathfinding and Planning 215\u003c\/p\u003e \u003cp\u003eIdentifying Good Locations: The Hotspot Finder 218\u003c\/p\u003e \u003cp\u003eCultural Algorithms 222\u003c\/p\u003e \u003cp\u003eCultural Algorithm Mechanisms 225\u003c\/p\u003e \u003cp\u003eThe Composition of the Belief Space 226\u003c\/p\u003e \u003cp\u003eFuture Work 227\u003c\/p\u003e \u003cp\u003ePath Planning Strategy 227\u003c\/p\u003e \u003cp\u003eLocal Tactics 229\u003c\/p\u003e \u003cp\u003eDetailed Locational Information 230\u003c\/p\u003e \u003cp\u003eExtending the CA 231\u003c\/p\u003e \u003cp\u003eHuman Presence in the Virtual World 234\u003c\/p\u003e \u003cp\u003eIncreasing the Complexity 235\u003c\/p\u003e \u003cp\u003eUpdated Path-Planning Results in Unity 236\u003c\/p\u003e \u003cp\u003eThe Fully Rendered Land Bridge 237\u003c\/p\u003e \u003cp\u003ePathfinder Mechanisms 239\u003c\/p\u003e \u003cp\u003eResults 245\u003c\/p\u003e \u003cp\u003eConclusions 254\u003c\/p\u003e \u003cp\u003eReferences 255\u003c\/p\u003e \u003cp\u003eIndex 259\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407046189399,"sku":"9781119403081","price":98.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119403081.jpg?v=1730497991","url":"https:\/\/bookcurl.com\/products\/cultural-algorithms-9781119403081","provider":"Book Curl","version":"1.0","type":"link"}