000959008 000__ 06277cam\a2200553Ki\4500 000959008 001__ 959008 000959008 005__ 20230306152632.0 000959008 006__ m\\\\\o\\d\\\\\\\\ 000959008 007__ cr\cn\nnnunnun 000959008 008__ 210106s2020\\\\sz\a\\\\ob\\\\101\0\eng\d 000959008 019__ $$a1232239699 000959008 020__ $$a9783030664121$$qelectronic book 000959008 020__ $$a3030664120$$qelectronic book 000959008 020__ $$z3030664112 000959008 020__ $$z9783030664114 000959008 0247_ $$a10.1007/978-3-030-66412-1$$2doi 000959008 035__ $$aSP(OCoLC)on1229073877 000959008 035__ $$aSP(OCoLC)1229073877$$z(OCoLC)1232239699 000959008 040__ $$aYDX$$beng$$erda$$cYDX$$dYDXIT$$dOCLCO$$dAU@ 000959008 049__ $$aISEA 000959008 050_4 $$aQA76.76.I58$$bE96 2020 000959008 08204 $$a006.3$$223 000959008 1112_ $$aEUMAS (Workshop)$$n(17th :$$d2020 :$$cThessalonikē, Greece) 000959008 24510 $$aMulti-agent systems and agreement technologies :$$b17th European Conference, EUMAS 2020 and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020 : revised selected papers /$$cNick Bassiliades, Georgios Chalkiadakis, Dave de Jonge (eds.). 000959008 2463_ $$aEUMAS 2020 000959008 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020] 000959008 300__ $$a1 online resource. 000959008 336__ $$atext$$btxt$$2rdacontent 000959008 337__ $$acomputer$$bc$$2rdamedia 000959008 338__ $$aonline resource$$bcr$$2rdacarrier 000959008 347__ $$atext file$$bPDF$$2rda 000959008 4901_ $$aLecture notes in artificial intelligence: subseries of Lecture notes in computer science ;$$v12520 000959008 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000959008 504__ $$aIncludes bibliographical references and author index. 000959008 5050_ $$aIntelligent agents and MAS applications -- Towards a Theory of Intentions for Human-Robot Collaboration -- Decentralised Control of Intelligent Devices: A Healthcare Facility Study -- Decentralised Multi-Intersection Congestion Control for Connected Autonomous Vehicles -- Congestion Management for Mobility-on-Demand Schemes that use Electric Vehicles -- Disaster Response Simulation as a Testbed for Multi-Agent Systems -- Mechanisms, Incentives, Norms, Privacy -- Rewarding miners: bankruptcy situations and pooling strategies -- A Game-Theoretical Analysis of Charging Strategies for Competing Double Auction Marketplaces -- Agents for Preserving Privacy: Learning and Decision Making Collaboratively -- Open Social Systems -- A Faithful Mechanism for Privacy-Sensitive Distributed Constraint Satisfaction Problems -- Incentivising Exploration and Recommendations for Contextual Bandits with Payments -- Emotional Agents Make a (Bank) Run -- Autonomous Agents -- An Interface for Programming Verifiable Autonomous Agents in ROS -- Integrated Commonsense Reasoning and Deep Learning for Transparent Decision Making in Robotics -- Combining Lévy Walks and Flocking for Cooperative Surveillance using Aerial Swarms -- Single-Agent Policies for the Multi-Agent Persistent Surveillance Problem via Artificial Heterogeneity -- Explaining the influence of prior knowledge on POMCP policies -- EUMAS 2020 Best Papers Session -- Approximating Voting Rules from Truncated Ballots -- Mechanism for Distributed Meeting Scheduling -- EUMAS-AT 2020 Joint Session -- An argumentation-based approach to generate domain-specific explanations -- Distributed multi-issue multi-lateral negotiation using a divide and rule approach -- Increasing negotiation performance at the edge of the network -- Challenges and Main Results of the Automated Negotiating Agents Competition -- Optimal Majority Rule Versus Simple Majority Rule -- Evaluating Crowdshipping Systems with Agent-Based Simulation -- Agent-based models, Social choice, Argumentation, Model-checking -- Measuring the Strength of Rhetorical Arguments -- Understanding the role of values and norms in practical reasoning -- Predicting the winners of Borda, Kemeny and Dodgson elections with supervised machine learning -- From Virtual Worlds to Mirror Worlds: A Model and Platform for Building Agent-based eXtended Realities -- Model-checking Information Diffusion in SocialNetworks with PRISM 452 -- "Roads? Where we're going we don't need roads." Using Agent-based modeling to analyze the economic impact of Hyperloop introduction on a supply chain -- Sensitivity to Initial Conditions in Agent-based Models.-: Agent-oriented software engineering, Game Theory, Task Allocation, Learning -- Statecharts and Agent Technology: The Past and Future -- A Game Of Double Agents: Repeated Stackelberg Games with Role Switch -- Learning Summarised Messaging through Mediated Differentiable Inter Agent Learning -- Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering -- Multiagent Task Coordination as Task Allocation Plus Task Responsibility -- Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints. 000959008 506__ $$aAccess limited to authorized users. 000959008 520__ $$aThis book constitutes the revised post-conference proceedings of the 17th European Conference on Multi-Agent Systems, EUMAS 2020, and the 7th International Conference on Agreement Technologies, AT 2020, which were originally planned to be held as a joint event in Thessaloniki, Greece, in April 2020. Due to COVID-19 pandemic the conference was postponed to September 2020 and finally became a fully virtual conference. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 53 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of autonomous agents and multi-agent systems. 000959008 588__ $$aDescription based on online resource; title from digital title page (viewed on February 10, 2021). 000959008 650_0 $$aMultiagent systems$$vCongresses. 000959008 7001_ $$aBassiliades, Nick,$$eeditor. 000959008 7112_ $$aAT (Conference)$$n(7th :$$d2020 :$$cThessalonikē, Greece) 000959008 77608 $$iPrint version: $$z3030664112$$z9783030664114$$w(OCoLC)1223069076 000959008 830_0 $$aLecture notes in computer science ;$$v12520. 000959008 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000959008 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000959008 852__ $$bebk 000959008 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-66412-1$$zOnline Access$$91397441.1 000959008 909CO $$ooai:library.usi.edu:959008$$pGLOBAL_SET 000959008 980__ $$aEBOOK 000959008 980__ $$aBIB 000959008 982__ $$aEbook 000959008 983__ $$aOnline 000959008 994__ $$a92$$bISE