Third edition of Artificial Intelligence: foundations of computational agents, Cambridge University Press, 2023 is now available (including the full text).
10 Multiagent Systems
Imagine a personal software agent engaging in electronic commerce on
your behalf. Say the task of this agent is to track goods available
for sale in various online venues over time, and to purchase some of
them on your behalf for an attractive price. In order to be
successful, your agent will need to embody your preferences for
products, your budget, and in general your knowledge about the
environment in which it will operate. Moreover, the agent will need
to embody your knowledge of other similar agents with which it will
interact (e.g., agents who might compete with it in an auction, or
agents representing store owners) - including their own preferences
and knowledge. A collection of such agents forms a multiagent
system.
- Yoav Shoham and Kevin Leyton-Brown [[Shoham and Leyton-Brown (2008)], page xvii]
What should an agent do when there are other agents, with their own values, who are also reasoning about what to do? An intelligent agent should not ignore other agents or treat them as noise in the environment. We consider the problems of determining what an agent should do given a mechanism that specifies how the world works, and of designing a mechanism that has useful properties.
