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Behavior-Based Artificial Intelligence

Behavior-Based Artificial Intelligence. Pattie Maes MIT Media-Laboratory Presentation by: Derak Berreyesa UNR, CS Department. Abstract. Uses behavior-based artificial intelligence as a new approach to studying intelligence.

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Behavior-Based Artificial Intelligence

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  1. Behavior-Based Artificial Intelligence Pattie Maes MIT Media-Laboratory Presentation by: Derak Berreyesa UNR, CS Department

  2. Abstract • Uses behavior-based artificial intelligence as a new approach to studying intelligence. • Deals with autonomous systems that must deal with changing goals in an unpredictable environment.

  3. Two approaches to AI • Knowledge-Based AI • Knowledge based systems have prior knowledge about the environment and there task. • Behavior-Based AI • React to there changing environment and goals • They “behave” in a problem domain.

  4. Knowledge-Based AI • Isolated and advanced competences. • “Closed” systems that only connect to the user, not the environment. • Deal with one problem at a time. • Uses static knowledge structures to solve problems. • Don’t have to adapt to changing situations. • When creating an autonomous system a computer takes over as the user.

  5. Behavior-Based AI • Has several competences but they are not as intelligent as isolated competence would be. • “Open” system that has little time to react. • Decides itself what the problem to be solved next is. • Relies more on producing behavior than knowledge. • Emphasis on adaptation.

  6. Behavior-Based problem solving • A system that can learn has to rely less on planning. • Environment can be exploited. • Learn over time. • Interacts in society to help accomplish tasks.

  7. A Mobile Robot • Knowledge-Based would create a model of the office to update as often as possible. It would include the location of the robot itself and the location of certain objects. • Behavior-Based would have specific modules for wall following, going through doors, etc.

  8. An Interface Agent • Knowledge-Based will learn all it can about what it should prompt the user for and/or try to do when the user does something. • Behavior-Based will have a each separate module try to learn about it’s own specialized task.

  9. Conclusion • Behavior-Based AI have proven to be very efficient so far. • More fundamental research needs to be done. • A better understanding of the underlying principles.

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