000898564 000__ 05627cam\a2200553Ii\4500 000898564 001__ 898564 000898564 005__ 20230306150232.0 000898564 006__ m\\\\\o\\d\\\\\\\\ 000898564 007__ cr\cn\nnnunnun 000898564 008__ 190628s2019\\\\sz\a\\\\o\\\\\101\0\eng\d 000898564 020__ $$a9783030242091$$q(electronic book) 000898564 020__ $$a3030242099$$q(electronic book) 000898564 020__ $$z9783030242084 000898564 0248_ $$a10.1007/978-3-030-24 000898564 035__ $$aSP(OCoLC)on1106167149 000898564 035__ $$aSP(OCoLC)1106167149 000898564 040__ $$aLQU$$beng$$erda$$cLQU$$dNOC$$dGW5XE$$dYDXIT$$dOCLCO$$dUKMGB$$dOCLCF$$dOCLCO 000898564 049__ $$aISEA 000898564 050_4 $$aQA76.76.I58$$bI58 2019 000898564 08204 $$a006.3$$223 000898564 1112_ $$aInternational Conference on Practical Applications of Agents and Multiagent Systems$$n(17th :$$d2019 :$$cÁvila, Spain) 000898564 24510 $$aAdvances in practical applications of survivable agents and multi-agent systems :$$bthe PAAMS Collection : 17th International Conference, PAAMS 2019, Ávila, Spain, June 26-28, 2019, Proceedings /$$cYves Demazeau, Eric Matson, Juan Manuel Corchado, Fernando De la Prieta (Eds.). 000898564 2463_ $$aPAAMS 2019 000898564 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000898564 300__ $$a1 online resource 000898564 336__ $$atext$$btxt$$2rdacontent 000898564 337__ $$acomputer$$bc$$2rdamedia 000898564 338__ $$aonline resource$$bcr$$2rdacarrier 000898564 4901_ $$aLecture notes in artificial intelligence ;$$v11523 000898564 4901_ $$aLecture notes in computer science 000898564 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000898564 500__ $$aIncludes index. 000898564 5050_ $$aRegular Papers -- Financial Market Data Simulation using Deep Intelligence Agents -- Multiagent Reinforcement Learning Applied to Traffic Light Signal Control -- Network effects in an Agent-Based Model of tax evasion with social influence -- Approximating Multi-Attribute Resource Allocations Using GAI Utility Functions -- Multimap Routing for Road Traffic Management -- MASS CUDA: A General GPU Parallelization Framework for Agent-Based Models -- Practical Applications of Multiagent Shepherding for Human-Machine Interaction -- Smart Farming - Open Multi-Agent Platform and Eco-System of Smart Services for Precision Farming -- Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem -- Selecting trustworthy partners by the means of untrustworthy recommenders in digitally empowered societies -- Towards Agent-oriented Blockchains: Autonomous Smart Contracts -- A New Deep Hierarchical Neural Network Applied in Human Activity Recognition (HAR) Using Wearable Sensors -- Identifying Knowledge from the Application of Natural Deduction Rules in Propositional Logic -- Multi-agent coordination for on-demand data gathering with periodic information upload -- QoS-aware Agent Capabilities Composition in HARMS multi-agent systems -- Generating real context data to test user dependent systems -- application to multi-agent systems -- Towards Profile and Domain Modelling in Agent-based Applications for Behavior Change -- Towards Topological Analysis of Networked Holonic Multi-agent Systems -- Modeling adaptive agents behaviors in artificial financial market -- Demo Papers -- A Demonstration of Generative Policy Models in Coalition Environments -- An Agent-Swarm Simulator for Dynamic Vehicle Routing Problem Empirical Analysis -- An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems -- SMACH : Multi-Agent Simulation of Human Activity in Households -- Modular and Self-organized Conveyor System using Multi-agent Systems -- Agent Process Modelling -- When Multiagent Systems meet Process Models and Microservices -- Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids -- Giving Camel to artifacts for Industry 4.0 integration challenges -- EMiR 2.0: A cognitive assistant robot for elderly -- AncientS-ABM: A novel tool for Simulating Ancient Societies -- Social Recommendations: Have We Done Something Wrong? -- Multi-agent coordination for data gathering with periodic requests and deliveries -- Demonstration of Multiagent Reinforcement Learning Applied to Traffic Light Signal Control -- Heráclito: Intelligent Tutoring System for Logic. 000898564 506__ $$aAccess limited to authorized users. 000898564 520__ $$aThis book constitutes the proceedings of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019, held in Ávila, Spain, in June 2019. The 19 regular and 14 demo papers presented in this volume were carefully reviewed and selected from 55 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: Agronomy and Internet of Things, coordination and structure, finance and energy, function and autonomy, humans and societies, reasoning and optimization, traffic and routing. 000898564 588__ $$aDescription based on online resource; title from digital title page (viewed on July 23, 2019). 000898564 650_0 $$aMultiagent systems$$vCongresses. 000898564 650_0 $$aCooperating objects (Computer systems)$$vCongresses. 000898564 7001_ $$aDemazeau, Yves,$$eeditor. 000898564 7001_ $$aMatson, Eric,$$eeditor. 000898564 7001_ $$aCorchado, Juan Manuel,$$eeditor. 000898564 7001_ $$aDe la Prieta, Fernando,$$eeditor. 000898564 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000898564 830_0 $$aLecture notes in computer science ;$$v11523. 000898564 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000898564 852__ $$bebk 000898564 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-24209-1$$zOnline Access$$91397441.1 000898564 909CO $$ooai:library.usi.edu:898564$$pGLOBAL_SET 000898564 980__ $$aEBOOK 000898564 980__ $$aBIB 000898564 982__ $$aEbook 000898564 983__ $$aOnline 000898564 994__ $$a92$$bISE