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

Contributor:

Rocha, Ana Paula, editor.

Steels, Luc, editor.

van den Herik, Jaap, editor.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13251

Language:

English

Subjects (All):

Artificial intelligence.

Computer science.

Computers.

Computers, Special purpose.

Image processing--Digital techniques.

Image processing.

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 (353 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Rocha, Ana Paula Agents and Artificial Intelligence

ISBN:

3-031-10161-8