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AI Agents: Decision-Making Dynamics

An agent is a software program designed to perform tasks and learn from its environment to enhance its performance. It operates under various conditions, balancing predictability and randomness while making decisions to achieve specific goals efficiently. Utility-based agents evaluate multiple alternatives to minimize the time required to reach their objectives.

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maheeeesharma
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10 views12 pages

AI Agents: Decision-Making Dynamics

An agent is a software program designed to perform tasks and learn from its environment to enhance its performance. It operates under various conditions, balancing predictability and randomness while making decisions to achieve specific goals efficiently. Utility-based agents evaluate multiple alternatives to minimize the time required to reach their objectives.

Uploaded by

maheeeesharma
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Agent is software program that can perform tasks, interact with

environment, and learns to improve performance over time.


amount of info, F: no hidden DDEFSS
variables (car ride), P: need
more info about system (cards)
D: outcome of action is
predictable, S: outcome
influenced by randomness E: independent states, future
& uncertainty (stocks) not affected by current
decisions (bot answering Q&A),
S: Unchanged while decisions S: future affected (finance)
are made, D: changes during D; finite no states & actions (chess)
response to percept sequence C: inf (basketball)
S: simple, specialization
M: flexible, scalable,
complex, robust
Checks best way to achieve goals.
Useful when there are multiple possible alternatives.
Every action is taken to minimize the time
taken to reach the goal

criticism lele problem pe


utility-based agent

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