COGS 200 Lecture Notes - Lecture 5: Toothache, Joule, Posterior Probability
16 Apr 2018
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Document Summary
Ai as study and design of intelligent agents. Intelligent agents: artifacts that act rationally in their environment. Their actions are appropriate for their goals and circumstances. They are flexible to changing environments and goals. They make appropriate choices, given perceptual limitations and limited resources. Intelligent agents: the agent has specific actions, that contribute to the environment, which in turn affects their abilities, prior knowledge, past experiences, goals/values, observations, which ultimately shapes the agent"s actions. To use these inputs, an agent needs to represent them knowledge!! One of ai goals: specify how a system can . Acquire and represent knowledge about a domain (representation) Use the knowledge to solve problems in that domain (reasoning) Problems (questions and tasks) to be solved. Computational reasoning procedures to compute a solution to a problem. Choice of an appropriate r&r system depends on various dimensions, e. g. properties of. The environment, the types of problems, the agent, the computation resources, etc.
