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ORCID13th ICAART 2021: Virtual Event - Revised Selected Papers
- Ana Paula Rocha
, Luc Steels, H. Jaap van den Herik:
Agents and Artificial Intelligence - 13th International Conference, ICAART 2021, Virtual Event, February 4-6, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13251, Springer 2022, ISBN 978-3-031-10160-1
Agents
- Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
Specification Aware Multi-Agent Reinforcement Learning. 3-21 - Ellie Beauprez, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier:
Task Bundle Delegation for Reducing the Flowtime. 22-45 - Giovane D'Avila Mendonça, Iderli Pereira de Souza Filho, Gilleanes Thorwald Araujo Guedes:
A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems. 46-69 - Massimo Cossentino, Salvatore Lopes, Luca Sabatucci:
Automatically-Generated Agent Organizations for Flexible Workflow Enactment. 70-84 - Toshihiro Matsui:
Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem. 85-110
Artificial Intelligence
- Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Sheraz Ahmed, Andreas Dengel:
Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis. 113-134 - Guillaume Petiot:
Using Possibilistic Networks to Compute Learning Course Indicators. 135-157 - Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks:
Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems. 158-180 - Josef Baloun, Pavel Král, Ladislav Lenc:
How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks? 181-196 - Teeradaj Racharak, Satoshi Tojo:
On the Relationship with Toulmin Method to Logic-Based Argumentation. 197-207 - Cristian David Estupiñán Ojeda, Cayetano Guerra-Artal, Mario Hernández-Tejera:
Informer: An Efficient Transformer Architecture Using Convolutional Layers. 208-217 - Sagar Kora Venu:
Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks. 218-235 - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
An Interpretable Word Sense Classifier for Human Explainable Chatbot. 236-249 - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. 250-268 - Dave Cliff, Zhen Zhang, Nathan Taylor:
Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents. 269-293 - Conor Stephens, Chris Exton:
Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning. 294-314 - Kamilia Ahmadi, Vicki H. Allan:
Practical City Scale Stochastic Path Planning with Pre-computation. 315-339
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