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Agents and artificial intelligence: 12th international conference, Icaart 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers
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10034316
QA76.76.R63.2021
Computer Science
GUtech Library
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*, Long Overdue
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10 Aug 2022
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Details
ISBN
9783030711573
Language
E
Shelf Location
QA76.76.R63.2021
Author
Rocha, Ana Paula
Title
Agents and artificial intelligence : 12th international conference, Icaart 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers
Publisher
Malta. : Springer , 2020.
Description
506p.: col. ill. ; 23 cm.
Specific Type of Material
Book
Contents
Intro -- Preface -- Organization -- Contents -- Agents -- Herd Behavior Is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake -- 1 Introduction -- 2 Related Studies -- 3 Video Analysis -- 4 Evacuation Decision Model -- 5 Earthquake Evacuation Simulation -- 5.1 Configuration -- 5.2 Result 1 -- 5.3 Result 2 -- 6 Analysis -- 6.1 Logistic Analysis -- 6.2 Graph Centrality Analysis -- 6.3 Sensitivity Analysis --7 Discussion -- 8 Conclusion -- References -- Intelligent Local Energy Communities: A Multiagent System Approach -- 1 Introduction 2 Decentralised Optimisation Approach -- 3 Community and Multiagent Models -- 3.1 Local Energy Community -- 3.2 Building Energy Network -- 3.3 Community Energy Network -- 4 Local Agent Optimisation Models -- 4.1 Nets -- 4.2 External Tie -- 4.3 Connector and Heat Pump -- 4.4 Photovoltaics and Fixed Loads -- 4.5 Battery -- 4.6 Space Heating -- 4.7 Hot Water Storage -- 5 Results and Discussion -- 5.1 Estimating Parameters and Validation of Local Models -- 5.2 Building Optimization -- 5.3 Community Optimization -- 5.4 Comparing Building and Community Optimizations 5.5 Addressing Flexibility Request -- 5.6 Ensuring Flexibility Delivery -- 6 Conclusions -- References -- A Game-Theoretical Incentive Mechanism for Local Energy Communities -- 1 Introduction -- 2 Literature Review -- 3 A Base Approach: An Analysis of NRG-X-Change -- 4 A Game Theory Model for Local Energy Communities -- 5 Robust P2P Energy Exchange Functions -- 6 Experimental Evaluation -- 6.1 Parameterization --6.2 Empirical Results --7 Conclusions and Future Work -- References -- On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters -- 1 Introduction -- 2 Related Work 3 Game-Theoretic Definitions --3.1 Normal Form Games --3.2 Bayesian Games --3.3 Stochastic Games -- 4 Learning Algorithms -- 4.1 Extended Kalman Filter Fictitious Play (EKFFP) -- 5 Multi-model Adaptive Filter EKFFP (Source: [59]) --5.1 Multi-model Adaptive Filters -- 5.2 Multi-model Adaptive Filters EKFFP (MMAF-EKFFP) -- 6 Implementation Details -- 6.1 Utility Functions -- 6.2 Robots' Decisions -- 6.3 Complexity -- 6.4 Stopping Criteria -- 6.5 Example of a Sequence of Bayesian Games -- 7 Simulation Results -- 7.1 Results in Potential Games (Source: ch4msicaart) 7.2 Games with Noisy Rewards (Source: ch4msicaart) --7.3 Results in Bayesian Games (Source: ch4msicaart) -- 7.4 Results on Stochastic and State-Based Games -- 8 Conclusions and Future Works --References --Cooperative Multi-agent Systems for the Multi-target -Coverage Problem -- 1 Introduction -- 2 Problem Formulation -- 3 Related Work -- 4 Agent Model -- 4.1 Robot Kinematics -- 4.2 Agent Behaviour -- 4.3 Willingness to Interact -- 4.4 Interaction Protocol -- 5 Simulation Setup -- 5.1 Set I Experiments and Results -- 5.2 Set II Experiments and Results -- 6 Generalization of the Approach
Subject
Artificial intelligence
Intelligent agents (Computer software)
Other name(s)
Steels, Luc. Herik, Jaap van den
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Subject References:
Artificial intelligence
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Intelligent agents (Computer software)
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Authors:
Rocha, Ana Paula
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Steels, Luc. Herik, Jaap van den
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