Abstract is missing.
- Specification Aware Multi-Agent Reinforcement LearningFabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien. 3-21 [doi]
- Task Bundle Delegation for Reducing the FlowtimeEllie Beauprez, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier. 22-45 [doi]
- A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent SystemsGiovane D'Avila Mendonça, Iderli Pereira de Souza Filho, Gilleanes Thorwald Araujo Guedes. 46-69 [doi]
- Automatically-Generated Agent Organizations for Flexible Workflow EnactmentMassimo Cossentino, Salvatore Lopes, Luca Sabatucci. 70-84 [doi]
- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization ProblemToshihiro Matsui. 85-110 [doi]
- Utilizing Out-Domain Datasets to Enhance Multi-task Citation AnalysisDominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Sheraz Ahmed, Andreas Dengel 0001. 113-134 [doi]
- Using Possibilistic Networks to Compute Learning Course IndicatorsGuillaume Petiot. 135-157 [doi]
- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic SystemsJoshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks. 158-180 [doi]
- How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?Josef Baloun, Pavel Král, Ladislav Lenc. 181-196 [doi]
- On the Relationship with Toulmin Method to Logic-Based ArgumentationTeeradaj Racharak, Satoshi Tojo. 197-207 [doi]
- Informer: An Efficient Transformer Architecture Using Convolutional LayersCristian David Estupiñán Ojeda, Cayetano Guerra-Artal, Mario Hernández-Tejera. 208-217 [doi]
- Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial NetworksSagar Kora Venu. 218-235 [doi]
- An Interpretable Word Sense Classifier for Human Explainable ChatbotRohan Kumar Yadav, Lei Jiao 0001, Ole-Christoffer Granmo, Morten Goodwin. 236-249 [doi]
- A Tsetlin Machine Framework for Universal Outlier and Novelty DetectionBimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao 0001. 250-268 [doi]
- Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-AgentsDave Cliff, Zhen Zhang, Nathan Taylor. 269-293 [doi]
- Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement LearningConor Stephens, Chris Exton. 294-314 [doi]
- Practical City Scale Stochastic Path Planning with Pre-computationKamilia Ahmadi, Vicki H. Allan. 315-339 [doi]