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About Artificial Intelligence Lecture 04
1) The lecture discusses classical vs modern AI, defines task environments using PEAS (Performance measure, Environment, Actuators, Sensors), and describes different types of environments including fully/partially observable, single/multi-agent, deterministic/stochastic, episodic/sequential, static/dynamic, discrete/continuous. 2) An example of a task environment discussed is an automated taxi driver agent, which operates in a partially observable, multi-agent, stochastic, sequential, dynamic, continuous environment. 3) The different types of environments have varying levels of complexity, with fully observable generally being simpler than partially observable, and discrete being simpler than continuous.
Detailed Information
| Author: | ['Abdul Rahman'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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