a rational agent R must square per an autom PEAS PEAS one point per square cleaned up in time 7? Rationality sen horn,speak specify the task en time step,minus one per move? ... Solitaire Backgammon Intermnet shopping Taxi Environment types 7HTML pages (text,graphics,scripts) current and future WWWsites,vendors,shipper price,quality.appropriateness,efficiency Internet shopping agent Internet shopping agent Rationality Fixed performance measure evaluates the environment sequence – one point per square cleaned up in time T? – one point per clean square per time step, minus one per move? – penalize for > k dirty squares? A rational agent chooses whichever action maximizes the expected value of the performance measure given the percept sequence to date Rational 6= omniscient – percepts may not supply all relevant information Rational 6= clairvoyant – action outcomes may not be as expected Hence, rational 6= successful Rational ⇒ exploration, learning, autonomy Chapter 2 7 PEAS To design a rational agent, we must specify the task environment Consider, e.g., the task of designing an automated taxi: Performance measure?? Environment?? Actuators?? Sensors?? Chapter 2 8 PEAS To design a rational agent, we must specify the task environment Consider, e.g., the task of designing an automated taxi: Performance measure?? safety, destination, profits, legality, comfort, . . . Environment?? US streets/freeways, traffic, pedestrians, weather, . . . Actuators?? steering, accelerator, brake, horn, speaker/display, . . . Sensors?? video, accelerometers, gauges, engine sensors, keyboard, GPS, . . . Chapter 2 9 Internet shopping agent Performance measure?? Environment?? Actuators?? Sensors?? Chapter 2 10 Internet shopping agent Performance measure?? price, quality, appropriateness, efficiency Environment?? current and future WWW sites, vendors, shippers Actuators?? display to user, follow URL, fill in form Sensors?? HTML pages (text, graphics, scripts) Chapter 2 11 Environment types Solitaire Backgammon Internet shopping Taxi Observable?? Deterministic?? Episodic?? Static?? Discrete?? Single-agent?? Chapter 2 12