UID:
almahu_9949357540902882
Format:
XVI, 314 p. 103 illus., 73 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9789811933592
Series Statement:
Smart Innovation, Systems and Technologies, 306
Content:
The book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 16th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2022), held at Rhodes, Greece in June 20-22, 2022. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy.
Note:
Temporal Logic in Multi-Agent Environment -- Queueless: Agent-Based Manufacturing for Workshop Production -- Anytime Evolutionary DCOP Algorithm with Distributed Solution Stores -- An Investigation into Inuences of Tweet Sentiments on Stock Market Movements -- Altruistic behavior structural holes and Team performance -- Construction of a news classication system related to information security incidents -- A Customer Experience Mapping for Knowledge Extraction from Social Simulation Results -- Explainable AI for Autism Classication in Children -- Online social networks and psychological experiences: analysis of youth perceptions through data mining -- A Systematic Review About Requirements Elicitation for Multi-Agent Systems -- A Normative Multi-Objective Based Intersection Collision Avoidance System -- Development of a transport model dedicated to an agent-based simulation of land use.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811933585
Additional Edition:
Printed edition: ISBN 9789811933608
Additional Edition:
Printed edition: ISBN 9789811933615
Language:
English
DOI:
10.1007/978-981-19-3359-2
URL:
https://doi.org/10.1007/978-981-19-3359-2
