000807542 000__ 03570cam\a2200493Mi\4500 000807542 001__ 807542 000807542 005__ 20210515141106.0 000807542 006__ m\\\\\o\\d\\\\\\\\ 000807542 007__ cr\nn\nnnunnun 000807542 008__ 171125s2017\\\\gw\\\\\\o\\\\\000\0\eng\d 000807542 019__ $$a1013931200$$a1014129831$$a1017801913 000807542 020__ $$a9783319716794 000807542 020__ $$a3319716794 000807542 020__ $$z9783319716787 000807542 0247_ $$a10.1007/978-3-319-71679-4$$2doi 000807542 035__ $$a(OCoLC)on1017946443 000807542 035__ $$a(OCoLC)1017946443$$z(OCoLC)1013931200$$z(OCoLC)1014129831$$z(OCoLC)1017801913 000807542 040__ $$aUPM$$beng$$cUPM$$dOCLCO$$dGW5XE$$dLQU$$dOCLCF$$dUAB 000807542 049__ $$aISEA 000807542 050_4 $$aQ334-342 000807542 050_4 $$aTJ210.2-211.495 000807542 08204 $$a006.3$$223 000807542 24500 $$aAutonomous Agents and Multiagent Systems :$$bAAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers /$$cedited by Gita Sukthankar, Juan A. Rodriguez-Aguilar. 000807542 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint: Springer,$$c2017. 000807542 300__ $$a1 online resource (x, 245 pages) :$$billustrations. 000807542 336__ $$atext$$btxt$$2rdacontent 000807542 337__ $$acomputer$$bc$$2rdamedia 000807542 338__ $$aonline resource$$bcr$$2rdacarrier 000807542 347__ $$atext file$$bPDF$$2rda 000807542 4901_ $$aLecture Notes in Computer Science,$$x0302-9743 ;$$v10643 000807542 5050_ $$aCompetitive Belief Propagation to efficiently solve Complex Multi-Agent Negotiations with Network Structure -- Stable Configurations with (Meta) Punishing Agents -- KILT: a modelling approach based on participatory agent-based simulation of stylized socio-ecosystems to stimulate social learning with local stakeholders -- Vote Buying Through Decoy Ballots -- Efficient evaluation of influenza mitigation strategies using preventive bandits -- Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning -- Budget Limited Trust-Aware Decision Making.-Max-sum Revisited; The Real Power of Damping -- A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs -- Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents -- A MaxSAT-Based Approach to the Team Composition Problem in a Classroom -- Heuristic Data Merging for Constructing Initial Agent Populations -- Norm Conflict Identification using Deep Learning -- Identifying affordances for modelling second order emergent phenomena with the WIT framework -- A Personal Medical Digital Assistant Agent for Supporting Human Operators in Emergency Scenarios. 000807542 506__ $$aAccess limited to authorized users. 000807542 520__ $$aThis book compiles the most visionary papers from 10 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017.  The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They deal with novel ideas proposing a change in the way research is currently carried out. . 000807542 650_0 $$aComputer science. 000807542 650_0 $$aComputer networks. 000807542 650_0 $$aComputers, Special purpose. 000807542 650_0 $$aUser interfaces (Computer systems) 000807542 650_0 $$aArtificial intelligence. 000807542 7001_ $$aSukthankar, Gita.$$eeditor. 000807542 7001_ $$aRodriguez-Aguilar, Juan A.$$eeditor. 000807542 77608 $$iPrint version:$$z9783319716787 000807542 830_0 $$aLecture notes in computer science ;$$v10643. 000807542 852__ $$bebk 000807542 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-71679-4$$zOnline Access 000807542 909CO $$ooai:library.usi.edu:807542$$pGLOBAL_SET 000807542 980__ $$aBIB 000807542 983__ $$aOnline 000807542 994__ $$a92$$bISE