Artificial Intelligence: Agents and Architectures

The agent's prior knowledge of the environment, the actions that the agent can perform, and the agent's percept sequence to date.

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.

The geography of the environment is known a priori, but the dirt distribution and the initial location of the agent are not.

<p>The agent correctly perceives its location and whether that location contains dirt.</p> Signup and view all the answers

<p>The performance measure awards one point for each clean square at each time step, over a lifetime of 1000 time steps.</p> Signup and view all the answers

<p>Clean squares stay clean, and sucking cleans the current square.</p> Signup and view all the answers

<p>The only available actions are Left, Right, and Suck.</p> Signup and view all the answers

<p>If the performance measure includes a penalty for each movement, the agent would fare poorly, and a better agent would do nothing once it is sure that all the squares are clean.</p> Signup and view all the answers

<p>The agent should occasionally check and re-clean them if needed.</p> Signup and view all the answers

<p>The percept sequence provides evidence for the agent to make informed decisions.</p> Signup and view all the answers