Ch. 2 – Intelligent Agents Supplemental slides for CSE 327 Prof. Jeff Heflin

Agent Environment sensors actuators ? Agent percepts actions rational agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has.

function T ABLE -D RIVEN -A GENT (percept) returns an action persistent: percepts, a sequence, initially empty table, a table of actions, indexed by percept sequences append percept to the end of percepts action  L OOKUP (percepts, table) return action From Figure 2.7, p. 47 Table Driven Agent

function T ABLE -D RIVEN -A GENT (percept) returns an action persistent: percepts, a sequence, initially empty table, a table of actions, indexed by percept sequences append percept to the end of percepts action  L OOKUP (percepts, table) return action From Figure 2.7, p. 47 Table Driven Agent function name input output type persistent variables: maintain values between function calls, like instance variables in OO, but can only be referenced within the function assignment operation output value function call

Rock, Scissors, Paper Table Driven Agent Percept SequenceAction Rock Rock Scissors Paper Rock Scissors Paper Scissors Paper Rock ….…

Goal-Based Agent sensors actuators Agent Environment What the world is like now What action I should do now Goals State How the world evolves What my actions do What it will be like if I do action A From Fig. 2.13, p. 52