1. Re: Context Final & Euro2000
Foolish me. The code just looked so neat, it had to work. It HAD to. But it
didn't
Sorry for the misleading, lets just hope I haven't lost all my credibility.
I've attached a zip-file, containing a working context-library.[finally!
also using the perfect algorithm]
Try the DOCKER Shell program. The commands are case sensitive (and off
course context sensitive 
)
Use 'List' to list all available (applying within the context) concepts.
(example: >>> List Ralf)
Use 'Ask' to resolve a query. (example: >> Ask Quit Status)
Use 'Concept' to supply a standard prefix. (example: >> Concept Ralf)
Use 'Change' to change/add a context. (example: >> Change My Name)
Use 'Help' to get all of the info.
Inserted below here, are the instructions of how to use Context.e
Greetings,
Ralf N.
nieuwen at xs4all.nl
Instructions & Notes from Context.E
----------------------------------------------------------------------------
--------------
----------------------------------------------------------------------------
--------------
--
-- CONTEXT June 2000
-- (c) By Ralf Nieuwenhuijsen USE AT OWN RISK
--
----------------------------------------------------------------------------
--------------
--
-- Offers context sensitive information management. There are two
different
-- approaches. Here the differces:
--
-- * FORMAL ROUTINES *
--
-- - Resolve, store and work with queries of integers.
-- - You can work with many different databases at the same time.
--
-- * QUICK'n'DIRTY *
--
-- - Resolve, store and work with formatted strings as queries.
-- (whitespace is used as seperator)
-- - Work with only one big common knowledge database.
--
-- The quick'n'dirty routines are easier and ideal for most cases. You
will only
-- need the formal routines when you want to store arbituary data or
work with
-- several seperated databases.
--
--------------
--
-- Code example:
--
--
-- concept ( "FakeWorld" )
-- the ("Euro2000 Winner") equals ("Netherlands")
--
-- top_level ()
--
-- the ("Ralf World") equals ("FakeWorld")
--
-- puts (1, "The winner of the Euro200 is ")
-- puts (1, ask ("Ralf World Euro2000 Winner") )
--
--
--
-- The example above is quite trivial and surely doesn't show the
power of the
-- context resolve algorithms, but it should give you a general idea.
--
-- NOTES:
--
-- * Call top_level () before you make any top level definitions.
--
-- * When using equals () your query will be parsed based upon
whitespace.
--
-- * When using setto () your query will not be parsed.
--
-- * These two do the very same thing:
--
-- 1) the ("Word1 Word2") equals ("Word3 Word4")
--
-- 2) concept ("Word1")
-- the ("Word2") equals ("Word3 Word4")
--
-- * You can use list( query ) to get a list of all context
related concepts.
--
---[Formal
---
--
-- context c
-- query q, concept, left, right
--
-- c = EMPTY
-- c = define ( c, concept, left, right )
--
-- q = ask_query ( c, q )
--
-- sequence s
-- s = list ( q ) -- a list of associated
context
--
----------------------------------------------------------------------------
--------------
