PRIMA 2016 : princiles and practice of multi-agent systems : 19th International Conference, Phuket, Thailand, August 22-26, 2016, Proceedings / Matteo Baldoni, Amit K. Chopra, Tran Cao Son, Katsutoshi Hirayama, Paolo Torroni (eds.).
Material type:
TextSeries: Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 9862. | LNCS sublibrary. SL 7, Artificial intelligence.Publisher: Switzerland : Springer, 2016Description: 1 online resource (xv, 418 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783319448329
- 3319448323
- Multiagent systems -- Congresses
- Systèmes multiagents (Intelligence artificielle) -- Congrès
- Computer programming -- software development
- Mathematical theory of computation
- Programming & scripting languages: general
- Expert systems -- knowledge-based systems
- Information retrieval
- Artificial intelligence
- Computers -- Programming -- General
- Mathematics -- Logic
- Computers -- Programming Languages -- General
- Computers -- Expert Systems
- Computers -- Information Technology
- Computers -- Intelligence (AI) & Semantics
- Multiagent systems
- 006.3 23
- QA76.76.I58
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed August 22, 2016).
Foundations of agent theory -- Engineering aspects of agent systems -- Emerging interdisciplinary areas of agent-based research.
This book constitutes the refereed proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2016, held in Phuket, Thailand, in August 22-26, 2016. The 16 revised full papers presented together with two invited papers, 9 short papers and three extended abstracts were carefully reviewed and selected from 50 submissions. The intention of the papers is to showcase research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.