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Advanced AI

Advanced AI. Prof. Sarit Kraus Bar-Ilan University Slides adjusted from David Parkes from Harvard Univ. Different Goals of AI. sensors. percepts. ?. environment. agent. actions. actuators. An agent and its environment.

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Advanced AI

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  1. Advanced AI Prof. Sarit Kraus Bar-Ilan University Slides adjusted from David Parkes from Harvard Univ. 89-950 Lecture 1

  2. Different Goals of AI 89-950 Lecture 1

  3. sensors percepts ? environment agent actions actuators An agent and its environment agent :Something that takes input (percepts) from its environment through sensors and takes actions upon its environment, using actuators. agent function: mapping from percept sequence to an action 89-950 Lecture 1

  4. Automated Agents • Autonomous • Plan • Adaptive • Able to learn • Cooperate with other agents or people • Can face adversary

  5. What is an Agent? PROPERTY MEANING • Situated Sense and act in dynamic/uncertain environments • Flexible Reactive (responds to changes in the environment) • Autonomous Exercises control over its own actions • Goal-oriented Purposeful • Persistent Continuously running process • Social Interacts with other agents/people • Learning Adaptive • Mobile Able to transport itself 89-950 Lecture 1

  6. Properties of environments Observable vs. Partially-observable (complete state of world is available to agent) Deterministic vs. no-deterministic (Stochastic) (no uncertainty about effects of actions) Static vs. Dynamic (do not need to observe while deliberate) Discrete vs. Continuous (state/percepts/actions/time) Single vs. Multiagent (cooperative vs. competitive) 89-950 Lecture 1

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