1 / 12

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.). Popular Tasks of Today. Data mining Intelligent agents and internet applications softbots

cora
Télécharger la présentation

For Wednesday

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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. Popular Tasks of Today • Data mining • Intelligent agents and internet applications • softbots • believable agents • intelligent information access • Scheduling applications • Configuration applications

  3. State of the Art • Deep Blue beats Kasparov • Sojourner, Spirit and Opportunity explore Mars • NASA Remote Agent in Deep Space I explores solar system • DARPA grand challenge: Autonomous vehicle navigates across desert and then urban environment. • Usable machine translation thru Google.

  4. State of the Art • iRobotRoomba automated vacuum cleaner, and PackBot used in Afghanistan and Iraq wars • Automated speech/language systems on telephone. • Fairly accurate speech recognition • Spam filters using machine learning. • Question answering systems automatically answer factoid questions.

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

  6. 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

  7. 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

  8. 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.

  9. Issues in Determining Rationality • Omniscience • Autonomy

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

  11. 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

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

More Related