UID:
almahu_9949083914902882
Format:
XVIII, 523 p. 177 illus., 122 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9789811629945
Series Statement:
Smart Innovation, Systems and Technologies, 241
Content:
This 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 15th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2021), being held as a Virtual Conference in June 14-16, 2021. 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:
An Agent-oriented, Blockchain-based Design of the Interbank Money Market Trading System -- A Conceptual Model for Human-Agent Teams -- Learned Dynamics Models and Online Planning for Model-based Animation Agents -- Swarm Intelligence Optimisation Algorithms and their Applications in a Complex Layer-Egg Supply Chain -- Collaborative Framework for Implementation of Accessible Digital Solutions -- Task Selection based on Worker Performance Prediction in Gamified Crowdsourcing -- Detection of Asynchronous Concatenation Emergent Behaviour in Multi-Agent Systems -- A Mobile Agent Based-Framework to Monitor and Manage Interoperability of C-ITS Services in Vehicles -- Revising Ethical Principles and Norms in Hybrid Societies: Basic Principles and Issues -- Asymmetry of Ties in Organizational Performance.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789811629938
Additional Edition:
Printed edition: ISBN 9789811629952
Additional Edition:
Printed edition: ISBN 9789811629969
Language:
English
DOI:
10.1007/978-981-16-2994-5
URL:
https://doi.org/10.1007/978-981-16-2994-5
