77 lines
2.5 KiB
Plaintext
77 lines
2.5 KiB
Plaintext
= AI =
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AI or artifical intelligence is the art of making intelligent machines.
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== Goals ==
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* Expert systems
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* exhibit itlligent behaviours in one field, (IE chess AIs beat humans)
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* Human intelligence
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* behave, think, and learn like humans
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== Types ==
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* AI
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* Machines which mimic human behaviour
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* not even close as of currently
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* [[machine_learning]]
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* Allow machines to find statistical relationships in data to mimic patterns
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* Deep learning
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* Subset of Machine Learning, makes multilayer neural networks feasible
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== Agents ==
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An agent is anything that perceives its enviroment thorugh some sensors and
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acts upon the enviroment throught some actuators.
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Some types of agents
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* Simple reflex
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* Make decision based on current state of percepts, ignores previous state
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* Only work in fully observable enviroment
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* Model-based reflex agent
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* Create a model of what is happening in the world, and based upon this
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model, make decisions
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* Work in partially obervable enviroment
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* Goal based agents
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* Knowldege of enviroment is not always best info to know what to do
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* Agent knows its goal and desirable situations
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* utility agesnts
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* learning agents
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Example, taxi driver,
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* Precepts
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* Cameras, GPS, microphone, etc
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* Action
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* Steet, accelerate, break, etc
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* Goal
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* safe, fast legal comfortable trip, maxmize profit
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* Enviroment
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* Roads, traffic, pedestrians, customers
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Any part of the enviroment that is fully observable is called a fully obersable
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enviroment. Else it is partially observalble. Most aspects of the enviroment
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are only partially observable.
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A stocahstic enviroment is random in nature and cannot be determined completely
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by an agent.
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In a deterministic enviroment that is fully obersvable, agents do not need to
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account for random chance.
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If the enviroment can change while the agent is deliberating/computing what to
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do, then the enviroment is dynamic. Otherwise, it is static. Static enviroments
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are much easier to deal with, because an agent must not constantly deliberate
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on when to change course suddenly.
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If the number of possible states that can be percieved is bounded, then the
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enviroment is called a discrete enviroment, otherwise it is a continous
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enviroment. A chess game is discrete, because there is a finite number of moves
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that cna be played.
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If there is only one agent in the enviroment, then it is called a single agent
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enviroment. HOwever if mulitple agents are operating in the enviroment, then it
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is a multi agent enviroment. The design problems are much harder in a
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multiagent enviroment.
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