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For Wednesday

For Wednesday. Read chapter 3, sections 1-4 Homework: Chapter 2, exercise 4 Explain your answers (Identify any assumptions you make. Where you think there’s a question, explain your thinking.). Views of AI. Weak vs. strong Scruffy vs. neat Engineering vs. cognitive.

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For Wednesday

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  1. For Wednesday • Read chapter 3, sections 1-4 • Homework: • Chapter 2, exercise 4 • Explain your answers (Identify any assumptions you make. Where you think there’s a question, explain your thinking.)

  2. Views of AI • Weak vs. strong • Scruffy vs. neat • Engineering vs. cognitive

  3. What Is an Agent? • In this course (and your textbook): • An agent can be viewed as perceiving its environment • Note that perception and environment may be very limited • An agent can be viewed as acting upon it environment (presumably in response to its perceptions) • Agent is a popular term with nebulous meaning--so don’t expect it to mean the same thing all of the time in the literature

  4. Rational Agents • Organizing principle of textbook • A rational agent is one that chooses the best action based on its perceptions • This does not have to be the best action that could have been taken--perception may be limited

  5. Determining Rationality • Must have a performance measure. • Rationality depends on • The performance measure. • Agent’s prior knowledge. • Agent’s possible actions. • Agent’s percept sequence to date.

  6. Issues in Determining Rationality • Omniscience • Autonomy

  7. Task Environment Specification • Performance measure • Environment • Actuators • Sensors

  8. Environment Issues • Observability • Single or multi-agent • Cooperative or competitive • Deterministic or stochastic • Episodic or sequential • Static or dynamic • Discrete or continuous • Known or unknown

  9. Types of Agents • Simple Reflex • Model-based Reflex • Goal-based • Utility-based • Learning

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