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Lecture 2: Problem Solving using State Space Representations - page 11 / 49

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Slide Set 2: State-Space Search 11

ICS 271, Fall 2007: Professor Padhraic Smyth

Environment types

Fully observable (vs. partially observable):

An agent's sensors give it access to the complete state of the environment at each point in time.

Deterministic (vs. stochastic):

The next state of the environment is completely determined by the current state and the action executed by the agent.

If the environment is deterministic except for the actions of other agents, then the environment is strategic

Deterministic environments can appear stochastic to an agent (e.g., when only partially observable)

Episodic (vs. sequential):

An agent’s action is divided into atomic episodes. Decisions do not depend on previous decisions/actions.

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