LEADER 07234nam 22006735 450 001 996465398003316 005 20200629165209.0 010 $a3-319-46882-0 024 7 $a10.1007/978-3-319-46882-2 035 $a(CKB)3710000000872964 035 $a(DE-He213)978-3-319-46882-2 035 $a(MiAaPQ)EBC5587648 035 $a(Au-PeEL)EBL5587648 035 $a(OCoLC)959922958 035 $a(PPN)195511417 035 $a(EXLCZ)993710000000872964 100 $a20160923d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutonomous Agents and Multiagent Systems$b[electronic resource] $eAAMAS 2016 Workshops, Best Papers, Singapore, Singapore, May 9-10, 2016, Revised Selected Papers /$fedited by Nardine Osman, Carles Sierra 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (IX, 193 p. 48 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v10002 311 $a3-319-46881-2 327 $aIntro -- Preface -- Organization -- Contents -- On the Trustworthy Fulfillment of Commitments -- 1 Motivation -- 2 Computational Models of Commitment -- 3 Problem Formulation -- 4 Commitment Semantics -- 4.1 Relationship to Other Commitment Semantics -- 4.2 Semantics-Respecting Algorithms -- 4.3 Semantics with Other Kinds of Uncertainty -- 5 Implications for Non-Decision-Theoretic Agents -- 6 Conclusions -- References -- Evaluating the Efficiency of Robust Team Formation Algorithms -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Approximations of the TORTF Problem -- 4.1 Greedy Algorithms -- 4.2 Genetic Algorithm -- 4.3 Linear Programming Approach -- 5 Results and Discussion -- 5.1 Datasets -- 5.2 Results -- 6 Conclusions -- References -- Social Welfare in One-Sided Matching Mechanisms -- 1 Introduction -- 1.1 Our Results -- 1.2 Discussion and Related Work -- 2 Preliminaries -- 3 Price of Anarchy Guarantees -- 4 Lower Bounds -- 5 General Solution Concepts -- 6 Extensions -- 6.1 Price of Stability -- 6.2 Unit-Range Representation -- 7 Conclusion and Future Work -- References -- Using Multiagent Negotiation to Model Water Resources Systems Operations -- 1 Introduction -- 2 Related Work -- 3 The Case Study -- 4 The Negotiation Protocols -- 4.1 Point-Based Protocol -- 4.2 Set-Based Protocol -- 5 Simulations -- 6 Conclusions -- References -- To Big Wing, or Not to Big Wing, Now an Answer -- 1 Introduction -- 1.1 The Battle of Britain -- 1.2 The Lanchester Model -- 1.3 Agent Based Models -- 2 Model Design -- 2.1 RAF Forces -- 2.2 German Forces -- 2.3 Model Functionality -- 3 Experiments -- 4 Results -- 5 Conclusion -- References -- How Testable Are BDI Agents? An Analysis of Branch Coverage -- 1 Introduction -- 2 Belief-Desire-Intention (BDI) Agents -- 3 All-Edge Coverage Analysis -- 3.1 Removing Failure Handling. 327 $a3.2 Simplifying for Uniform Programs -- 4 All-Edges vs. All-Paths -- 5 BDI vs. Procedural -- 6 Conclusion -- References -- Dynamics of Fairness in Groups of Autonomous Learning Agents -- 1 Introduction -- 2 Multiplayer Ultimatum Game -- 2.1 Sub-game Perfect Equilibrium -- 3 Learning Model -- 4 Results -- 5 Discussion and Conclusion -- References -- Using Stackelberg Games to Model Electric Power Grid Investments in Renewable Energy Settings -- 1 Introduction -- 2 Related Work -- 3 Curtailment Rules -- 3.1 Effects of Curtailment Strategies on Renewable Capacity Utilisation - An Illustration -- 4 Renewable Investment in Single Locations -- 4.1 Individual Generator Incentives -- 4.2 Total Generation Capacity -- 5 Transmission Investment in Multiple Locations -- 5.1 Implementation in Areas with High Curtailment -- 5.2 Transmission Investment as a Stackelberg Game -- 6 Network Upgrade Case Study -- 7 Conclusions and Future Work -- References -- Multi-scale Simulation for Crowd Management: A Case Study in an Urban Scenario -- 1 Introduction -- 2 Related Works -- 3 A Multi-scale Model for the Simulation of Urban Scenarios -- 3.1 The Discrete Microscopic Model -- 3.2 The Mesoscopic Model -- 3.3 Strategic Model -- 4 Analysis of an Urban Scenario -- 4.1 The Scenario of the Tortona Design Week -- 4.2 Experiments -- 5 Conclusion -- References -- Communication and Shared Mental Models for Teams Performing Interdependent Tasks -- 1 Introduction -- 2 Background and Related Work -- 2.1 Measuring SMM -- 2.2 SMM and Task Interdependence -- 3 Scenario: Blocks World for Teams -- 3.1 Task Design -- 3.2 Agent Teams and Agent Behaviours -- 3.3 Communication and SMM -- 3.4 Using Shared Mental Models -- 4 Experiment Design -- 5 Results -- 5.1 SMM Components and Team Performance -- 5.2 Communication Performance -- 5.3 Analysis of Sharedness -- 6 Discussion. 327 $a7 Conclusions and Future Work -- References -- An Examination of a Novel Information Diffusion Model: Considering of Twitter User and Twitter System Features -- 1 Introduction -- 2 Related Works -- 3 Weak Point of Extended SIR Model -- 4 Proposed Method -- 4.1 State Transition Model -- 4.2 Multiplexing of Information Path -- 4.3 Life Pattern -- 4.4 User's diversity -- 5 Experiment -- 5.1 Experiment Outline -- 5.2 Evaluation Methods -- 5.3 Experimental Results -- 6 Conclusion -- References -- Author Index. 330 $aThis book features a selection of best papers from 11 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, in Singapore in May 2016. The 11 full papers were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems. 410 0$aLecture Notes in Artificial Intelligence ;$v10002 606 $aArtificial intelligence 606 $aComputer simulation 606 $aApplication software 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aArtificial intelligence. 615 0$aComputer simulation. 615 0$aApplication software. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aSimulation and Modeling. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.3 702 $aOsman$b Nardine$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSierra$b Carles$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465398003316 996 $aAutonomous Agents and Multiagent Systems$92597349 997 $aUNISA