Computing Perspective in Text - Computational Linguistics and Talking Robots - page 213

When applying this inference to the first complex content in 11.2.2, α may be

bound to moi or toi , is bound to say .Thesevalues

satisfy the variable restrictions of the inference. Furthermore,

β is bound to love ,and γ

is bound to
John if U is bound to NIL or to Mary if U is not bound to NIL. As the result,
moi is identified with John and toi with Mary in the first complex content and
conversely in the second, in concord with intuition. 3
In contradistinction to the STAR-2.1 inference defined in 10.3.3, which per-
manently modifies the input content before storage in the hearer's Word Bank,
the STAR-2.5 inference applies after storage without changing the content:
The inference is applied whenever a content like 11.2.2 is activated.
The kinds of inferences defined so far may be summarized as follows:

δ

11.2.4 NONLANGUAGE INFERENCES FOR MAINTAINING BALANCE

1. R(eactor) inferences for recognizing an imbalance and deriving a counter-
measure (5.2.1-5.2.3).
2. D(eductor) inferences for establishing meaning and event relations (5.3.1-
5.3.3).
3. D inferences for creating summaries (5.3.5, 6.5.4, 6.5.5).
4. Consequence inferences CIN and CIP (6.3.6, 6.3.7).
5. Meta-inference for deriving up and down inferences for hierarchies (6.5.7).
6. The resulting inferences for performing upward and downward traversal in
a hierarchy (6.5.9, 6.5.12).
7. E(ffector) inferences for deriving blueprints for action (5.2.1, 5.2.5, 5.5.5).
8. E inference for changing subjunctive to imperative content (5.6.1).

nonlanguage inferences attach to old content (input) by means of pattern
matching and derive new content (output), stored at the now front , without
affecting the old content. Their task is to maintain the agent's equilibrium by
recognizing deviations from balance and deriving blueprints for action.
Language inferences, in contrast, adjust the different perspectives of the
speaker and the hearer on a content:

11.2.5 L ANGUAGE INFERENCES FOR ADJUSTING PERSPECTIVE

1. STAR-1 inferences deriving the speaker's perspective on S patial, T em-
poral (10.2.2), and R ecipient (10.2.4) aspects of STAR-0 contents.
2. STAR-2 inferences deriving the hearer's perspective on contents with
(10.3.4, 10.4.5) and without (10.3.6) 1st and 2nd person indexicals.