Means-Ends Analysis: Difference between revisions

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[[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]]
[[file:AI.png|right|frame|Artificial Intelligence<ref>http://www.flaticon.com/</ref>]]


Means-Ends analysis is a method of solving problems.  
Means-Ends analysis is a method of solving problems. This method is useful for well-formed problems.
 
== What makes a good knowledge representation ==


== State Space ==


Problem solving occurs in a [https://en.wikipedia.org/wiki/State-space_representation state space]. Imagine first an initial state and then a goal state. We want to get from the initial state to the goal state. There might be many different




== References ==
== References ==
<references />
<references />

Revision as of 06:20, 4 February 2018

Artificial Intelligence[1]

Means-Ends analysis is a method of solving problems. This method is useful for well-formed problems.

State Space[edit]

Problem solving occurs in a state space. Imagine first an initial state and then a goal state. We want to get from the initial state to the goal state. There might be many different


References[edit]