TAILIEUCHUNG - Lecture Multiagent systems - Chapter 2: Intelligent agents

The aim of this chapter is to give you an understanding of what agents are, and some of the issues associated with building them. In later chapters, we will see specific approaches to building agents. | LECTURE 2: INTELLIGENT AGENTS An Introduction to MultiAgent Systems What is an Agent? The main point about agents is they are autonomous: capable of acting independently, exhibiting control over their internal state Thus: an agent is a computer system capable of autonomous action in some environment in order to meet its design objectives SYSTEM ENVIRONMENT input output What is an Agent? Trivial (non-interesting) agents: thermostat UNIX daemon (., biff) An intelligent agent is a computer system capable of flexible autonomous action in some environment By flexible, we mean: reactive pro-active social Reactivity If a program’s environment is guaranteed to be fixed, the program need never worry about its own success or failure – program just executes blindly Example of fixed environment: compiler The real world is not like that: things change, information is incomplete. Many (most?) interesting environments are dynamic Software is hard to

• Kỹ thuật lập trình
• Multiagent systems
• Lecture Multiagent systems
• An introduction to multiagent systems
• Intelligent autonomous agents
• Agent design
• Human orientation
• Information Economies
• Pervasive Computing
• Flocking of Birds
• Tuple Spaces
• Automated Negotiation
• Analytical Modeling
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• Data Mining
• Neural Networks
• Decision System
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• Agent Technologies
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