03828nam 2200625 a 450 991048399070332120200520144314.010.1007/11532095(CKB)1000000000213152(SSID)ssj0000320518(PQKBManifestationID)11258722(PQKBTitleCode)TC0000320518(PQKBWorkID)10249700(PQKB)10418529(DE-He213)978-3-540-31859-0(MiAaPQ)EBC3068004(PPN)123096448(EXLCZ)99100000000021315220050620d2005 uy 0engurnn#008mamaatxtccrTrusting agents for trusting electronic societies theory and applications in HCI and E-commerce /Rino Falcone ... [et al.] (eds.)1st ed. 2005.Berlin ;New York Springerc20051 online resource (VIII, 235 p.)Lecture notes in computer scienceLecture notes in artificial intelligence,0302-9743 ;3577Hot topics"Result of two workshops, the 6th and the 7th International Workshop on Trust in Agent Societies, respectively held in Melbourbe (Australia) on July 14, 2003 and in New York (USA.) on July 9, 2004."--Pref.3-540-31859-3 3-540-28012-X Includes bibliographical references and index.Normative Multiagent Systems and Trust Dynamics -- Toward Trustworthy Adjustable Autonomy in KAoS -- Contract Nets for Evaluating Agent Trustworthiness -- The EigenRumor Algorithm for Calculating Contributions in Cyberspace Communities -- A Temporal Policy for Trusting Information -- A Design Foundation for a Trust-Modeling Experimental Testbed -- Decentralized Reputation-Based Trust for Assessing Agent Reliability Under Aggregate Feedback -- A Trust Analysis Methodology for Pervasive Computing Systems -- Decentralized Monitoring of Agent Communications with a Reputation Model -- A Security Infrastructure for Trust Management in Multi-agent Systems -- Why Trust Is Hard – Challenges in e-Mediated Services -- A Protocol for a Distributed Recommender System -- Temptation and Contribution in C2C Transactions: Implications for Designing Reputation Management Systems.Based on two international workshops on trust in agent societies, held at AAMAS 2003 and AAMAS 2004, this book draws together carefully revised papers on trust, reputation, and security in agent society. Besides workshop papers, several contributions from leading researchers in this interdisciplinary field were solicited to complete coverage of all relevant topics. The 13 papers presented take into account issues from multiagent systems, artificial intelligence, cognitive science, game theory, and social and organizational science. Theoretical topics are addressed as well as applications in human-computer interaction and e-commerce.Lecture notes in computer science ;3577.Lecture notes in computer science.Lecture notes in artificial intelligence.Hot topics (Berlin, Germany)Intelligent agents (Computer software)CongressesTrustCongressesTrustSimulation methodsCongressesIntelligent agents (Computer software)TrustTrustSimulation methods006.3Falcone Rino1343994International Workshop on Trust in Agent Societies(7th :2004 :New York, N.Y.)MiAaPQMiAaPQMiAaPQBOOK9910483990703321Trusting agents for trusting electronic societies4204140UNINA04820nam 2201189z- 450 991055728380332120210501(CKB)5400000000041202(oapen)https://directory.doabooks.org/handle/20.500.12854/69339(oapen)doab69339(EXLCZ)99540000000004120220202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEvolutionary Computation & Swarm IntelligenceBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (286 p.)3-03943-454-3 3-03943-455-1 The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.Information technology industriesbicsscalgorithmic designanalysisapproximate matchingbenchmark suitecompact optimizationconcept driftconcept evolutioncontext-triggered piecewise hashingdata integrationdata samplingDE-MPFSC algorithmdensity based clusteringdiscrete optimizationdynamic stream clusteringedit distanceentanglement degreeestimation distribution algorithmsevolutionary algorithmsevolutionary computationfeature selectionfitness trendfuzzy hashinggenetic algorithmglobal/local optimizationHolm-Bonferronihybrid algorithmsidentificationimbalanced datainstance weightingk-means centroidkinematic parameterslarge-scale optimizationLZJDmanipulatorMarkov processmaximum k-coveragememetic algorithmsmemetic computingmeta-heuristic algorithmsmetaheuristic optimisationmetaheuristicsmulti-objective deterministic optimization, derivative-freemulti-thread programmingnature-inspired algorithmsnormalizationone billion variablesonline clusteringoptimisationparameter tuningparticle swarmParticle Swarm Optimizationpopulation based algorithmsPSOredundant representationrobotroutingscreening criteriasdhashsignaturessimilarity detectionsimulation-based design optimizationSocial Network Optimizationssdeepswarm intelligenceSwarm IntelligenceWilcoxon rank-sumwireless sensor networksInformation technology industriesCaraffini Fabioedt1296143Santucci ValentinoedtMilani AlfredoedtCaraffini FabioothSantucci ValentinoothMilani AlfredoothBOOK9910557283803321Evolutionary Computation & Swarm Intelligence3023804UNINA