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Agents and Multi-agent Systems: Technologies and Applications 2024 : Proceedings of 18th KES International Conference, KES-AMSTA 2024, June 2024 / edited by Gordan Jezic, Y.-H. Chen-Burger, Mario Kušek, Roman Šperka, Robert J. Howlett, Lakhmi C. Jain.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Jezic, Gordan.
- Series:
- Smart Innovation, Systems and Technologies, 2190-3026 ; 406
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Expert systems (Computer science).
- Data mining.
- Artificial intelligence.
- Computational Intelligence.
- Knowledge Based Systems.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Local Subjects:
- Computational Intelligence.
- Knowledge Based Systems.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (523 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- 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 18th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2024), held in Madeira, Portugal, on June 19–21, 2024. 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Jezic, Gordan Agents and Multi-Agent Systems: Technologies and Applications 2024
- ISBN:
- 9789819764693
- OCLC:
- 1505735289
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