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Details
Table of 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
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