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Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

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Consequently, we represent the above clause by a semantic net (vide fig 8.4).<br />

The semantic net shown in fig 8.4 describes a mapping from<br />

relationships Instance-of (X, child) <strong>and</strong> Instance-of (sweet, Y) to relationships<br />

Likes (X, Y). To represent the given clause by an alternative form of semantic<br />

nets, we, for example, first express it in CNF. The CNF of ∀X ∃Y (Instanceof<br />

(X, child) ∧ Instance-of (Y, sweet) Likes (X, Y)) is ∀X ∃Y ( ¬Instanceof<br />

(X, child) ∨ ¬Instance-of (Y, sweet) ∨ likes(X, Y)).<br />

Disjunction<br />

¬ Instances-of<br />

X<br />

Likes<br />

Child Sweet<br />

Fig . 8.5: A representation of ¬ Instance -of ( X, Child ) V<br />

¬ Instance- of ( Y, Sweet ) V Likes ( X , Y ).<br />

Semantic nets can be partitioned into modules, where one or more<br />

modules are subsets of the others. Such modular structure helps reasoning in a<br />

hierarchical fashion <strong>and</strong> thus is more time efficient. For instance, consider the<br />

semantic net of fig. 8.6, where node ‘g’ corresponds to the assertion given in<br />

the above problem, whereas GS is a general statement. In other words, g is a<br />

special instance of GS. The form of node g, <strong>and</strong> ∀X, are also shown clearly in<br />

fig. 8.6. It is to be further noted that the entire semantic net is now partitioned<br />

into two modules, one called SI, while the entire space is called SA. The<br />

spaces in a partitioned semantic net [3] are associated with each other by a<br />

subsethood hierarchical relation. For instance, space SI in fig. 8.6 is included<br />

in space SA. The search in a partitioned semantic net thus can be done from<br />

inner to outer space; searching variables or arcs in an opposite direction (i.e.,<br />

from outer to inner space) is not allowed [9].<br />

Y<br />

¬ Instances-of

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