Types Of Environment in A.I.

#artificial_intelligence #agents_environment
Hello Friends, In this video you are going to learn about different types of Environment.
♦ Fully observable: sensors give access to the complete state of the environment at each point in time.
♦ partially observable: noise, no sensors,
♦ Single/Multi agent
♦ Deterministic/stochastic: the next state of the environment is completely
determined by the current state and the action of the agent
♦ Uncertain: not fully observable or not deterministic.
♦ Nondeterministic: actions are characterized by their possible outcomes.
♦ Episodic vs. sequential: the next episode does not depend on the actions in previous episodes.
♦ Static vs. dynamic: environment can change while an agent is deliberating
semi-dynamic: the environment does not change, but the performance
of the agent does (chess with clock)
♦ Discrete vs. continuous: applies to the state of the environment, to the
way time is handled, and to the percepts and actions of the agent (chess vs.taxi driving)
♦ Known vs. unknown: not to the environment but to agent’s knowledge (solitaire vs. video game - know vs. observable)
References:
Artificial Intelligence
A Modern Approach Third Edition
Peter Norvig and Stuart J. Russell
Music: www.bensound.com
Image Sources:
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TELL HOW TO BUILD ENVIRNOMEMTAL AHENTS