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PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, Iván Marsá Maestre (editors)
PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, Iván Marsá Maestre (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XIII, 430 p. 124 illus., 101 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Multiagent systems
ISBN 3-030-69322-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems.
Record Nr. UNINA-9910484147403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, Iván Marsá Maestre (editors)
PRIMA 2020 : principles and practice of multi-agent systems : 23rd International Conference, Nagoya, Japan, November 18-20, 2020 : proceedings / / Takahiro Uchiya, Quan Bai, Iván Marsá Maestre (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XIII, 430 p. 124 illus., 101 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Multiagent systems
ISBN 3-030-69322-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Implementation of Real Data for Financial Market Simulation using Clustering, Deep Learning, and Artificial Financial Market -- Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment -- A Socio-Psychological Approach To Simulate Trust and Reputation in Modal Choices -- Reasoning about Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP -- Optimal Deterministic Time-based Policy in Automated Negotiation -- Agent Simulation of Collision Avoidance based on Meta-Strategy Model -- The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach -- Distance-based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents -- Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning -- Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-Agent Deep Q-Learning -- Policy Adaptive Multi-Agent Deep Deterministic Policy Gradient -- Multi-Agent Planning with High-Level Human Guidance -- Preference Elicitation in Assumption-Based Argumentation -- Declarative Preferences in Reactive BDI Agents -- Predicting the Priority of Social Situations for Personal Assistant Agents -- Mutex Propagation for SAT-based Multi-Agent Path Finding -- A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems -- A Goal-Based Framework For Supporting Medical Assistance: The Case of Chronic Diseases -- Optimal Control of Pedestrian Flows by Congestion Forecasts Satisfying User Equilibrium Conditions -- Automated Negotiation Mechanism and Strategy for Compensational Vehicular Platooning -- A Cognitive Agent Framework in Information Retrieval: Using User Beliefs to Customize Results -- Deep Reinforcement Learning for Pedestrian Guidance -- NegMAS: A platform for automated negotiations -- Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets -- Construct an Artificial Population with Urban and Rural Population Differences Considered: to support long-term care system evaluation by agent-based simulation -- Multi-Agent Path Finding with Destination Choice -- Abductive Design of BDI Agent-based Digital Twins of Organizations -- Beliefs, Time and Space: A Language for the Ykai Board Game -- Argumentation-based Explanations of Multimorbidity Treatment Plans -- The Persistence of False Memory: Brain in a Vat despite Perfect Clocks -- Box-Office Prediction Based on Essential Features Extracted from Agent-Based Modeling -- Short Duration Aggregate Statistical Model Checking for Multi-Agent Systems.
Record Nr. UNISA-996464519703316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui