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Agents are embedded in an environment, meaning that an agent affects and is affected by the environment. An agent experiences its environment through sensors an acts on its environment through effectors.
An accessible environment is one in which the agent can obtain complete, accurate, up-to-date information about the environment’s state
Most moderately complex environments (including, for example, the everyday physical world and the Internet) are inaccessible.
Example:
A static environment is one in which the only changes to the environment are those caused by actions made by the agent.对环境的唯一更改是由agent执行的操作引起的更改。
A dynamic environment is one that has other processes and/or agents operating on it, and so changes in ways beyond the agent’s control. 不仅仅是有一个agent在决策,其他agents在决策时会互相影响
E n v = < E , e 0 , π > Env = <E, e_0, \pi> Env=<E,e0,π>
Utility functions allow an agent to understand how “good” an outcome is.
Deductive reasoning agents, which have an explicitly model of the world represented in logical formulas and reason using logical deduction.
Reactive agents, which do not have an explicit model of the world that they reason with, but instead their behaviour is driven by a set of “stimulus -> action” rules.
Hybrid agents, which combine a purely reactive layer with higher-level reasoning layers.
E.g:
s t u d e n t ( y o u ) student(you) student(you) υ \upsilon υ g r a d u a t e ( y o u ) graduate(you) graduate(you) – at some point in the future you will graduate, until then you will be a student. 直到毕业前你一直是学生
t i t l e ( m e , d r ) title(me,dr) title(me,dr) S S S
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