Advanced AI Prof Sarit Kraus BarIlan University Slides

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

Different Goals of AI Think like humans “cognitive science” Think rationally formalize inference process -who will determined how human -taking informal knowledge into formal terms. think? Act like humans Turing test -computational resources. Act rationally Achieve goal according to believes -Failed since humans weakness. 89 -950 Lecture 1 2

An agent and its environment sensors environment percepts ? agent actions actuators 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 3

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

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 5

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 6