國立高雄大學圖資館 |

登入

回首頁

Applied swarm intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied swarm intelligence /editor, Yaniv Altshuler.
其他作者:	Altshuler, Yaniv,
面頁冊數:	viii, 332 pages :illustrations ;24 cm
標題:	Swarm intelligence.
ISBN:	9780367226879

Applied swarm intelligence /
Applied swarm intelligence /editor, Yaniv Altshuler. - First edition. - viii, 332 pages :illustrations ;24 cm

Preface1. Recent Developments in the Theory and Applicability of Swarm SearchYaniv AltshulerOverviewApplicationsDecentralized Intelligence Architectures and The Swarm ParadigmLimitationsSwarm Search with CommunicationThe Convergence of Swarm Intelligence and Modern AI SystemsEthical Considerations and Societal ImpactOpportunities and Future ResearchReferences2. Modeling and Prediction of Ride Sharing Utilization DynamicsTal Altshuler, Yaniv Altshuler, Rachel Katoshevski and Yoram ShiftanIntroductionRelated WorkDataset and MethodologyAnalyzing the Dynamic Ride-Sharing NetworkSummary and Future WorkReferencesAppendix A: Prediction Results3. The Dynamics of Autonomous Drone Swarms in Surveillance: Exploring Efficiency, Feasibility, and ComplexityYaniv AltshulerIntroductionRelated WorkThe Dynamic "Cooperative Cleaners" ProblemA Protocol-Agnostic Lower Bound for the Cleaning TimeImpossibility ResultThe Cleaning ProtocolExperimental Results vs. Lower BoundUpper Bound for Static Domains (d =

This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust swarm-intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the swarm intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, bioinformatics, and military applications. Theoretical and practical limitations of such systems, as well as trade-offs between the various economic and operational parameters of the systems, are discussed. The book is intended for researchers and engineers in the fields of swarm systems, economics, agriculture, nutrition, and operation research.

Yaniv Altshuler, a leading expert in Artificial Intelligence, is a researcher at the MIT Media Lab, Cambridge, Massachusetts, USA and a dynamic entrepreneur. Over the past decade he has used his expertise to advise leading financial institutes and government agencies worldwide. Yaniv is the author of 3 books on the topic of AI and has published over 80 scientific papers and filed 18 patents. His research has been covered by Harvard Business Review, Financial Times, Communications of the ACM, IEEE Spectrum and others.

ISBN: 9780367226879Subjects--Topical Terms:

237730
Swarm intelligence.

Applied swarm intelligence /
LDR:03081nam 2200277 i 4500 001 693086
003 OCoLC
005 20260624101720.0
008 260625s2025 flu g b 001 0 eng d
020 $a 9780367226879
020 $a 0367226871
035 $a (OCoLC)1541760659
035 $a on1541760659
040 $a RIU $b eng $c RIU $d OCLCO
049 $a NUKM
090 $a Q337.3 $b .A77 2025
245 0 0 $a Applied swarm intelligence / $c editor, Yaniv Altshuler.
250 $a First edition.
264 1 $a Boca Raton : $b CRC Press, $c 2025.
300 $a viii, 332 pages : $b illustrations ; $c 24 cm
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
505 0 $a Preface1. Recent Developments in the Theory and Applicability of Swarm SearchYaniv AltshulerOverviewApplicationsDecentralized Intelligence Architectures and The Swarm ParadigmLimitationsSwarm Search with CommunicationThe Convergence of Swarm Intelligence and Modern AI SystemsEthical Considerations and Societal ImpactOpportunities and Future ResearchReferences2. Modeling and Prediction of Ride Sharing Utilization DynamicsTal Altshuler, Yaniv Altshuler, Rachel Katoshevski and Yoram ShiftanIntroductionRelated WorkDataset and MethodologyAnalyzing the Dynamic Ride-Sharing NetworkSummary and Future WorkReferencesAppendix A: Prediction Results3. The Dynamics of Autonomous Drone Swarms in Surveillance: Exploring Efficiency, Feasibility, and ComplexityYaniv AltshulerIntroductionRelated WorkThe Dynamic "Cooperative Cleaners" ProblemA Protocol-Agnostic Lower Bound for the Cleaning TimeImpossibility ResultThe Cleaning ProtocolExperimental Results vs. Lower BoundUpper Bound for Static Domains (d =
520 $a This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust swarm-intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the swarm intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, bioinformatics, and military applications. Theoretical and practical limitations of such systems, as well as trade-offs between the various economic and operational parameters of the systems, are discussed. The book is intended for researchers and engineers in the fields of swarm systems, economics, agriculture, nutrition, and operation research.
545 0 $a Yaniv Altshuler, a leading expert in Artificial Intelligence, is a researcher at the MIT Media Lab, Cambridge, Massachusetts, USA and a dynamic entrepreneur. Over the past decade he has used his expertise to advise leading financial institutes and government agencies worldwide. Yaniv is the author of 3 books on the topic of AI and has published over 80 scientific papers and filed 18 patents. His research has been covered by Harvard Business Review, Financial Times, Communications of the ACM, IEEE Spectrum and others.
650 0 $a Swarm intelligence. $3 237730
650 0 $a Artificial intelligence. $3 194058
650 6 $a Intelligence artificielle. $3 299112
650 7 $a artificial intelligence. $2 aat $3 966368
700 1 $a Altshuler, Yaniv, $e editor. $1 https://id.oclc.org/worldcat/entity/E39PCjxFvJVpgYFPkFR7TWm3cd $3 1009457
994 $a C0 $b TWNUK