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Agents and Artificial Intelligence

13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

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Overview

Editors:
  1. Ana Paula Rocha

    1. LIACC, University of Porto, Porto, Portugal

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  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 University, Leiden, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13251)

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

Included in the following conference series:

Conference proceedings info: ICAART 2021.

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About this book

This book constitutes selected papers from the refereed proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, which was held online during February 4–6, 2021.
A total of 72 full and 99 short papers were carefully reviewed and selected for the conference from a total of 298 submissions; 17 selected full papers are included in this book. They were organized in topical sections named agents and artificial intelligence.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xiv
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  2. Agents

    1. Front Matter

      Pages 1-1
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    2. Specification Aware Multi-Agent Reinforcement Learning

      • Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller et al.
      Pages 3-21
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    3. Task Bundle Delegation for Reducing the Flowtime

      • Ellie Beauprez, Anne Cécile Caron, Maxime Morge, Jean-Christophe Routier
      Pages 22-45
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    4. A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems

      • Giovane D’Avila Mendonça, Iderli Pereira de Souza Filho, Gilleanes Thorwald Araujo Guedes
      Pages 46-69
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    5. Automatically-Generated Agent Organizations for Flexible Workflow Enactment

      • Massimo Cossentino, Salvatore Lopes, Luca Sabatucci
      Pages 70-84
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    6. Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem

      • Toshihiro Matsui
      Pages 85-110
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  3. Artificial Intelligence

    1. Front Matter

      Pages 111-111
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    2. Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis

      • Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Sheraz Ahmed, Andreas Dengel
      Pages 113-134
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    3. Using Possibilistic Networks to Compute Learning Course Indicators

      • Guillaume Petiot
      Pages 135-157
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    4. Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems

      • Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks
      Pages 158-180
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    5. How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?

      • Josef Baloun, Pavel Král, Ladislav Lenc
      Pages 181-196
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    6. On the Relationship with Toulmin Method to Logic-Based Argumentation

      • Teeradaj Racharak, Satoshi Tojo
      Pages 197-207
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    7. Informer: An Efficient Transformer Architecture Using Convolutional Layers

      • Cristian Estupiñán-Ojeda, Cayetano Guerra-Artal, Mario Hernández-Tejera
      Pages 208-217
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    8. Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks

      • Sagar Kora Venu
      Pages 218-235
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    9. An Interpretable Word Sense Classifier for Human Explainable Chatbot

      • Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
      Pages 236-249
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    10. A Tsetlin Machine Framework for Universal Outlier and Novelty Detection

      • Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
      Pages 250-268
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    11. Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents

      • Dave Cliff, Zhen Zhang, Nathan Taylor
      Pages 269-293
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    12. Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning

      • Conor Stephens, Chris Exton
      Pages 294-314
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    13. Practical City Scale Stochastic Path Planning with Pre-computation

      • Kamilia Ahmadi, Vicki H. Allan
      Pages 315-339
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Other volumes

  1. Agents and Artificial Intelligence

Editors and Affiliations

  • LIACC, University of Porto, Porto, Portugal

    Ana Paula Rocha

  • ICREA, Institute of Evolutionary Biology, Barcelona, Spain

    Luc Steels

  • Leiden University, Leiden, The Netherlands

    Jaap van den Herik

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