--- In email@example.com
, "Maithreebhanu Wimalasekare"
> Thank you for helping me out. I find BNF and Psedo code used in
> book to diificult to grasp at first. Are there any documents on
> for us to learn these?
The book's writing style may be like this: a simple problem ( provide
simple solution -> a complex problem (provided modified solution or
renewed solutions )-> more complex problem (provided better solution
or renewed solutions) - > more practical problem for thinking
In the above solutions, the author give the natural language
(English) to show the main idea for how to solve the problem. The
description is long but clear and easy to understand, but it is also
difficult to remember and for further analysis and implementation (by
lisp or python etc computer language).
Therefore, almost for the above every solutions, the author provides
Psedo code together, it is much shorter. Because it doesn't contains
description, if you only read the Psedo code for understanding, it is
In addition, BNF doesn't appear (if I remember) until the "natural
langauge" related chapters. Therefore BNF will not become your
obstacle in learning (from "agent" chapter to "planning" chapter).
My first suggestion is to read the solution's description and Psedo
code together, not seperately, even if they are on the different
pages ( You need to turn pages repeatedly. ).
My second suggestion is to read patiently. It is impossible to learn
AI in 2 or 3 months, even for a genius. But it is worth to spend time.
> --- In firstname.lastname@example.org, Peter Norvig <peter@n...> wrote:
> > This line of pseudocode says to take the agent's program and
> > to the agent's percept, in order to get the agent's action. If
> > were only one agent, it would be
> > action <-- program(percept())
> > It is connected to the environment in that the percept function
> > determined by the environment.