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stored content in the speak mode (3.3.3), and (d) finding content correspond-
ing to a question (Sect. 4.2). Other requirements on functional completeness
are autonomous control and inferencing (Chap. 5), as well as adaptation and
learning (Chap. 6).
Computational efficiency has been addressed by showing that the storage of
new proplets in a Word Bank and the retrieval (visiting) of proplets via pointers
requires only constant time (Sects. 4.1 and 4.4). Also, earlier work (TCS'92)
has shown that the applications of LA-grammar to natural language parse in
linear time (linear complexity). All further refinements of the DBS system will
have to be shown not to jeopardize these important results.
4.6 Embedding the Cycle of Communication into the Agent
The component structure 4.5.3 raises the question of how to integrate the LA-
hear, LA-think, and LA-speak derivations outlined in Sects. 3.3 and 3.4 step-
by-step into the functional flow. Furthermore, what are the impulses initiating
these procedures, and where do these impulses come from?
Within the component structure and functional flow of 4.5.3, the hear mode
derivation 3.3.1 may be shown as follows (using the same numbering as in
4.5.3 to indicate corresponding inter-component mappings):
4.6.1 M APPING INCOMING SURFACES INTO CONTENT ( HEAR MODE )
surfaces:
1
Julia
knows
John
5, 7
lexical lookup
noun: Julia
fnc:
prn:
verb: know
arg:
prn:
noun: John
fnc:
prn:
content level:
lexical proplets
7
matching and binding
noun:
α
verb:
β
noun:
γ
pattern proplets
rule level:
fnc:
prn:
arg:
prn:
fnc:
prn:
The impulse activating the hear mode operations are the surfaces (1) which the
I/O component provides to the rule component (5), triggering lexical lookup
in the Word Bank (7). As a result, lexical proplets are added one by one at
the end of the corresponding token lines ( now front ) of the Word Bank. At the
same time, the LA-hear grammar rules (3.4.1) of the rule component connect
 
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