| 书目名称 | Learning and Adaption in Multi-Agent Systems |
| 副标题 | First International |
| 编辑 | Karl Tuyls,Pieter Jan’t Hoen,Sandip Sen |
| 视频video | |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | This book contains selected and revised papers of the International Workshop on Lea- ing and Adaptation in Multi-Agent Systems (LAMAS 2005), held at the AAMAS 2005 Conference in Utrecht, The Netherlands, July 26. An important aspect in multi-agent systems (MASs) is that the environment evolves over time, not only due to external environmental changes but also due to agent int- actions. For this reason it is important that an agent can learn, based on experience, and adapt its knowledge to make rational decisions and act in this changing environment autonomously. Machine learning techniques for single-agent frameworks are well established. Agents operate in uncertain environments and must be able to learn and act - tonomously. This task is, however, more complex when the agent interacts with other agents that have potentially different capabilities and goals. The single-agent case is structurally different from the multi-agent case due to the added dimension of dynamic interactions between the adaptive agents. Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) |
| 出版日期 | Conference proceedings 2006 |
| 关键词 | Evolution; adaptive agents; agent communication; agent coordination; agent environments; agent programmin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/11691839 |
| isbn_softcover | 978-3-540-33053-0 |
| isbn_ebook | 978-3-540-33059-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
发表于 2025-3-21 18:59:30
