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Selective Smooth Fictitious Play: An approach based on game theory for patrolling infrastructures with a multi-robot system

  • Published:2014-05 Issue:6 Volume:41 Page:2897-2913
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Hernández Erik,Barrientos Antonio,Cerro Jaime del

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

1. A multi-objective evolutionary algorithm for intelligent patrolling;Aguirre,2011

2. Recent advances on multi-agent patrolling;Almeida,2004

3. Security games with limited surveillance;An,2012

4. Iterative solution of games by fictitious play;Brown,1951

5. What if criminals optimize their choice? Optimal strategies to defend public goods;Bruni;Physica A: Statistical Mechanics and its Applications,2012

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1. Multiagent Multiobjective Decision Making and Game for Saving Public Resources;IEEE Transactions on Cognitive and Developmental Systems;2024-02

2. Cooperative Dual-Task Path Planning for Persistent Surveillance and Emergency Handling by Multiple Unmanned Ground Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024

3. Multirobot Cooperative Patrolling Strategy for Moving Objects;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-05

4. Fitness-Based Hierarchical Reinforcement Learning for Multi-human-robot Task Allocation in Complex Terrain Conditions;Arabian Journal for Science and Engineering;2022-09-08

5. On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers;2022 International Wireless Communications and Mobile Computing (IWCMC);2022-05-30
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