000			07524cam a2200649 i 4500
001			on1150804616
003			OCoLC
005			20220711203626.0
006			m o d
007			cr |||||||||||
008			200410s2021 njua ob 001 0 eng
010			_a 2020001818
040			_aDLC _beng _erda _cDLC _dOCLCO _dOCLCQ _dOCLCF _dN$T _dDG1 _dSFB _dYDX _dOCLCO
020			_a9781119403111 _qelectronic book
020			_a1119403111 _qelectronic book
020			_a9781119403098 _qelectronic book
020			_a111940309X _qelectronic book
020			_a9781119403104 _qelectronic book
020			_a1119403103 _qelectronic book
020			_z9781119403081 _qhardcover
029	1		_aAU@ _b000067018462
035			_a(OCoLC)1150804616
042			_apcc
050	0	4	_aH61.25 _b.R49 2021
082	0	0	_a300.1/5181 _223
049			_aMAIN
100	1		_aReynolds, Robert G., _eauthor. _99409
245	1	0	_aCultural algorithms : _btools to model complex dynamic social systems / _cRobert G. Reynolds.
264		1	_aPiscataway, NJ : _bIEEE Press ; _aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2021]
300			_a1 online resource (xi, 264 pages) : _billustrations (chiefly color).
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	1		_aIEEE Press series on computational intelligence
504			_aIncludes bibliographical references and index.
520			_a""The Foundations of Social Intelligence" covers a wide range of the basic framework of cultural algorithms, from the history of its development to how other nature-inspired algorithms can be expressed. It also demonstrates how the social organizational structures that make up human socio-political systems can be modeled in terms of cultural algorithms. It explores how the learning process is expressed in thermodynamic terms as a cultural engine, while proposing several social metrics to assess their performance. Cultural algorithms are a computational framework for understanding human social evolution based upon anthropological and archaeological models of cultural evolution. The key is how we can we use cultural algorithms as a vehicle to understand why these building blocks are ubiquitous across the globe in computational terms. The performance of the basic social models are compared against each other relative to the different categories of complex systems problems"-- _cProvided by publisher.
505	8		_a1. System Design Using Cultural Algorithms -- Introduction -- The Cultural Engine -- Outline of the Book: Cultural Learning in Dynamic Environments -- 2. The Cultural Algorithms Toolkit -- Cultural Algorithms Toolkit Overview -- Downloading and Running CAT -- The Repast Simphony System -- Knowledge Sources -- Fitness Functions -- Conesworld -- The Logistics Function -- Cultural Algorithms Toolkit Sample Runs: Conesworld -- Cultural Algorithms Toolkit Sample Runs: Other Problems -- 3. Problem Solving Using Social Networks in Cultural Algorithms with Auctions -- Introduction -- Cultural Algorithms -- Subcultured Heterogeneous Networks -- Auction Mechanisms -- The Cultural Engine -- Cones World -- Experimental Framework -- Results -- Conclusions -- References -- 4. Using Common Value Auction In Cultural Algorithm to Enhance Robustness and Resilience of Social Knowledge Distribution Systems -- Cultural Algorithms -- Common Value Auction -- Cones World -- Dynamic Experimental Framework -- Results -- Conclusions and Future Work -- 5. Optimizing AI Pipelines: A Game-Theoretic Cultural Algorithms Approach -- Introduction -- Overview of Cultural Algorithms -- Cultural Algorithms Knowledge Distribution Mechanisms -- Primer on Game Theory -- Game Theoretic Knowledge Distribution -- Continuous-Action Iterated Prisoner's Dilemma -- Play -- Payoff -- Outcome -- Learning Rate Adjustment -- Test Results: Benchmark Problem -- Test Results: Computer Vision Pipeline -- Conclusions -- 6. Cultural Algorithms for Social Network Analysis -- Case Studies in Team Formation -- Introduction -- Application of Social Network -- Forming Successful Teams -- Formulating TFP -- Communication Cost -- Personnel Cost -- Distance Cost -- Workload Balance -- Why Artificial Intelligence? -- Cultural Algorithms -- Forming Teams in Co-authorship Network -- Individual Representation -- Fitness Function -- Belief Space -- Dataset and Observations -- Skill Frequency -- Forming Teams in Healthcare Network -- Individual Representation.
505	8		_aFitness Function -- Dataset and Observation -- Summary and Conclusion -- 7. Evolving Emergent Team Strategies in Robotic Soccer using Enhanced Cultural Algorithms -- Abstract -- Introduction -- Related Work -- The 2D Soccer Simulation Testbed -- Evolution of team strategies via Cultural Algorithm -- Experiments and Analysis of Results -- Conclusion -- References -- 8. The Use of Cultural Algorithms to Learn the Impact of Climate on Local Fishing Behavior in Cerro Azul, Peru -- Introduction -- An Overview of the Cerro Azul Fishing Data Set -- Data Mining at the Macro, Meso, and Micro Levels -- Cultural Algorithms and Multi-Objective Optimization -- The Artisanal Fishing Model -- The Experimental Results -- Statistical Validation -- Conclusions and Future Work -- 9. CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer -- Introduction -- Multi-Objective Optimization -- Cultural Algorithms -- CAPSO Knowledge Structures -- Tracking Knowledge Source Progress (Other than Topographic) -- CAPSO Algorithm Pseudocode -- Multiple Runs -- Benchmark Problems Comparison -- Overall Summary of Results -- Other Applications -- 10. Exploring Virtual Worlds with Cultural Algorithms: Ancient Alpena-Amberley Land Bridge -- Archaeological Challenges -- Generalized Framework -- The Land Bridge Hypothesis -- Origin and Form -- Putting Data to Work -- Path-Finding and Planning -- Identifying Good Locations -- Cultural Algorithms -- Cultural Algorithm Mechanisms -- The Composition of the Belief Space -- Future Work -- Path Planning Strategy -- Local Tactics -- Detailed Locational Information -- Extending the Cultural Algorithms -- Human Presence in the Virtual World -- Increasing the Complexity -- Updated Path-Planning Results -- The Fully Rendered Land Bridge -- Pathfinder Mechanisms -- Results -- Conclusions.
588			_aDescription based on online resource; title from digital title page (viewed on February 24, 2021).
590			_bWiley Frontlist Obook All English 2020
650		0	_aSocial systems _xMathematical models. _99410
650		0	_aCulture _xMathematical models. _99411
650		0	_aAlgorithms. _93390
650		0	_aSocial intelligence. _99412
650		0	_aComputational intelligence. _97716
650		7	_aAlgorithms. _2fast _0(OCoLC)fst00805020 _93390
650		7	_aComputational intelligence. _2fast _0(OCoLC)fst00871995 _97716
650		7	_aCulture _xMathematical models. _2fast _0(OCoLC)fst00885070 _99411
650		7	_aSocial intelligence. _2fast _0(OCoLC)fst01122559 _99412
650		7	_aSocial systems _xMathematical models. _2fast _0(OCoLC)fst01123417 _99410
655		4	_aElectronic books. _93294
776	0	8	_iPrint version: _aReynolds, Robert G.. _tCultural algorithms _dHoboken, New Jersey : John Wiley & Sons, [2020] _z9781119403081 _w(DLC) 2020001817
830		0	_aIEEE series on computational intelligence. _94752
856	4	0	_uhttps://doi.org/10.1002/9781119403111 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69387 _d69387