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Agents and Artificial Intelligence = 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Agents and Artificial Intelligence/ edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.
Reminder of title:
13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers /
other author:
Rocha, Ana Paula.
Description:
XIV, 341 p. 143 illus., 89 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-031-10161-8
ISBN:
9783031101618
Agents and Artificial Intelligence = 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers /
Agents and Artificial Intelligence
13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers /[electronic resource] :edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik. - 1st ed. 2022. - XIV, 341 p. 143 illus., 89 illus. in color.online resource. - Lecture Notes in Artificial Intelligence,132512945-9141 ;. - Lecture Notes in Artificial Intelligence,13406.
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.
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.
ISBN: 9783031101618
Standard No.: 10.1007/978-3-031-10161-8doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Agents and Artificial Intelligence = 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers /
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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.
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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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