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Agents and Artificial Intelligence

15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ana Paula Rocha

    1. LIACC, University of Porto, Porto, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Luc Steels

    1. ICREA, Institute of Evolutionary Biology, Barcelona, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Jaap van den Herik

    1. Leiden Institute of Advanced Computer Science, Leiden, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14546)

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

Included in the following conference series:

Conference proceedings info: ICAART 2023.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Agents

    1. Front Matter

      Pages 1-1
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    2. Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up

      • M. Umlauft, M. Gojkovic, K. Harshina, K. Majbour, M. Schranz
      Pages 3-25

    3. Estimating the Spread of COVID-19 Due to Transportation Networks Using Agent-Based Modeling

      • Ruturaj Godse, Shikha Bhat, Shruti Mestry, Vinayak Naik
      Pages 26-47

    4. Dealing with the Unpredictability of Physical Resources in Real-World Multi-agent Systems

      • Nilson Mori Lazarin, Carlos Eduardo Pantoja, José Viterbo
      Pages 48-71

    5. Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives

      • Davide Catta, Angelo Ferrando, Vadim Malvone
      Pages 72-94

    6. Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids

      • Ihab Taleb, Guillaume Guerard, Frédéric Fauberteau, Nga Nguyen
      Pages 95-112

  3. Artificial Intelligence

    1. Front Matter

      Pages 113-113
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    2. Predictive Explanations for and by Reinforcement Learning

      • Léo Saulières, Martin C. Cooper, Florence Dupin de Saint-Cyr
      Pages 115-140

    3. Effects of Feature Types on Donor Journey

      • Greg Lee, Ajith Kumar Raghavan, Mark Hobbs
      Pages 141-163

    4. Data-Efficient Offline Reinforcement Learning with Approximate Symmetries

      • Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
      Pages 164-186

    5. Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups

      • Sabrine Ben Abdrabbah, Sabrine Mallek, Nahla Ben Amor
      Pages 187-201

    6. Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking

      • Konstandinos Aiwansedo, Jérôme Bosche, Wafa Badreddine
      Pages 202-222

    7. Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning

      • Fernando Fradique Duarte, Nuno Lau, Artur Pereira, Luís Paulo Reis
      Pages 223-243

    8. Spatial Representation and Reasoning About Fold Strata: A Qualitative Approach

      • Yuta Taniuchi, Kazuko Takahashi
      Pages 244-266

    9. Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments

      • Qin Liang, Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito et al.
      Pages 267-285

    10. Weight Re-mapping for Variational Quantum Algorithms

      • Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe et al.
      Pages 286-309

    11. Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation

      • Shengbo Chang, Katsuhide Fujita
      Pages 310-332

    12. A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks

      • Fatima-Zahrae Nakach, Ali Idri
      Pages 333-352

    13. UTP: A Unified Term Presentation Tool for Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies

      • Monah Bou Hatoum, Jean Claude Charr, Alia Ghaddar, Christophe Guyeux, David Laiymani
      Pages 353-369
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Other volumes

  1. Agents and Artificial Intelligence

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About this book

This book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023.

The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows:

One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.


Editors and Affiliations

  • LIACC, University of Porto, Porto, Portugal

    Ana Paula Rocha

  • ICREA, Institute of Evolutionary Biology, Barcelona, Spain

    Luc Steels

  • Leiden Institute of Advanced Computer Science, Leiden, The Netherlands

    Jaap van den Herik

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