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Agents and Artificial Intelligence : 13th International Conference, ICAART 2021, Virtual Event, February 4-6, 2021, Revised Selected Papers / edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13251
- Lecture Notes in Artificial Intelligence ; 13251
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer science.
- Computers.
- Computers, Special purpose.
- Image processing-Digital techniques.
- Computer vision.
- Artificial Intelligence.
- Theory of Computation.
- Computing Milieux.
- Special Purpose and Application-Based Systems.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Theory of Computation.
- Computing Milieux.
- Special Purpose and Application-Based Systems.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XIV, 341 pages) : 143 illustrations, 89 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Agents
- Specification Aware Multi-Agent Reinforcement Learning
- Task Bundle Delegation for Reducing the Flowtime
- A Detailed Analysis of a Systematic Review about Requirements Engineering Processes for Multi-Agent Systems
- Automatically-generated Agent Organizations for Flexible Workflow Enactment
- Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem
- Artificial Intelligence
- Utilizing Out-domain Datasets to Enhance Multi-task Citation Analysis
- Using Possibilistic Networks to Compute Learning Course Indicators
- Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems
- How to Segment Handwritten Historical Chronicles using Fully Convolutional Networks?
- On the Relationship with Toulmin Method to Logic-based Argumentation
- Informer: An efficient Transformer Architecture using Convolutional Layers
- Improving the Generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks
- An Interpretable Word Sense Classifier for Human Explainable Chatbot
- A Tsetlin Machine Framework for Universal Outlier and Novelty Detection
- Adding Supply/Demand Imbalance-sensitivity to Simple Automated Trader-agents
- Advances in Measuring Inflation within Virtual Economies using Deep Reinforcement Learning
- Practical City Scale Stochastic Path Planning with Pre-computation.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-10161-8
- 9783031101618
- Access Restriction:
- Restricted for use by site license.
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