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PRIMA 2020: Principles and Practice of Multi-Agent Systems

23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Takahiro Uchiya

    1. Nagoya Institute of Technology, Nagoya, Japan

  2. Quan Bai

    1. University of Tasmania, Tasmania, Australia

  3. Iván Marsá Maestre

    1. University of Alcalá, Alcala de Henares, Spain

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12568)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PRIMA 2020.

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About this book

This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions.

Due to COVID-19, the conference was held online.

The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Full Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market

      • Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
      Pages 3-18

    3. Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment

      • Fredrik Präntare, Fredrik Heintz
      Pages 19-33

    4. A Socio-psychological Approach to Simulate Trust and Reputation in Modal Choices

      • Khoa Nguyen, René Schumann
      Pages 34-50

    5. Reasoning About Trustworthiness in Cyber-Physical Systems Using Ontology-Based Representation and ASP

      • Thanh Hai Nguyen, Tran Cao Son, Matthew Bundas, Marcello Balduccini, Kathleen Campbell Garwood, Edward R. Griffor
      Pages 51-67

    6. Optimal Deterministic Time-Based Policy in Automated Negotiation

      • Yasser Mohammad
      Pages 68-83

    7. Agent Simulation of Collision Avoidance Based on Meta-strategy Model

      • Norifumi Watanabe, Kensuke Miyamoto
      Pages 84-99

    8. The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach

      • Atena M. Tabakhi, William Yeoh, Ferdinando Fioretto
      Pages 100-115

    9. Distance-Based Heuristic Solvers for Cooperative Path Planning with Heterogeneous Agents

      • Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi
      Pages 116-132

    10. Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning

      • Jiahao Peng, Toshiharu Sugawara
      Pages 133-149

    11. Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning

      • Ken Smith, Yuki Miyashita, Toshiharu Sugawara
      Pages 150-164

    12. Policy Adaptive Multi-agent Deep Deterministic Policy Gradient

      • Yixiang Wang, Feng Wu
      Pages 165-181

    13. Multi-agent Planning with High-Level Human Guidance

      • Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
      Pages 182-198

    14. Preference Elicitation in Assumption-Based Argumentation

      • Quratul-ain Mahesar, Nir Oren, Wamberto W. Vasconcelos
      Pages 199-214

    15. Declarative Preferences in Reactive BDI Agents

      • Mostafa Mohajeri Parizi, Giovanni Sileno, Tom van Engers
      Pages 215-230

    16. Predicting the Priority of Social Situations for Personal Assistant Agents

      • Ilir Kola, Myrthe L. Tielman, Catholijn M. Jonker, M. Birna van Riemsdijk
      Pages 231-247

    17. Mutex Propagation for SAT-based Multi-agent Path Finding

      • Pavel Surynek, Jiaoyang Li, Han Zhang, T. K. Satish Kumar, Sven Koenig
      Pages 248-258

    18. A SMT-based Implementation for Safety Checking of Parameterized Multi-Agent Systems

      • Paolo Felli, Alessandro Gianola, Marco Montali
      Pages 259-280

    19. A Goal-Based Framework for Supporting Medical Assistance: The Case of Chronic Diseases

      • Milene Santos Teixeira, Célia da Costa Pereira, Mauro Dragoni
      Pages 281-298
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Other volumes

  1. PRIMA 2020: Principles and Practice of Multi-Agent Systems

Editors and Affiliations

  • Nagoya Institute of Technology, Nagoya, Japan

    Takahiro Uchiya

  • University of Tasmania, Tasmania, Australia

    Quan Bai

  • University of Alcalá, Alcala de Henares, Spain

    Iván Marsá Maestre

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