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Semantic network

Artificial Intelligence  Self-similarity  Semantics

Semantic Networks
A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs.



A is the most basic structure upon which an identification tree (hereafter referred to as an ID tree) is based.

Semantic networks and frames
Both methodologies- semantic network and frames-can be thought as the precursors of the actual high-level programming languages, such as C++ or Java, which are fundamentally object-oriented languages.

Represents information (such as the meaning of an English sentence) as a set of nodes representing objects, concepts, or events and directed labelled arcs representing the relationships between pairs of nodes.

Semantic Network. A method of representing structured knowledge. It consists of nodes and links, where the nodes are concepts or entities and the links represent relationships and associations among the concepts.

s: However, when we need to describe more details, such as the relations between an object's parts, it may be better to use the kinds of 's' we saw in ยง4-6 to represent a person's self-model, ...

semantic network a representation of meaning based on a network of nodes that represent objects and labeled arcs between nodes that represent relations between the objects denoted by the nodes.

allows a common form of inference known as inverse links. For example we can have a HasSister link which is the inverse of SisterOf link.

. Semantic Networks as Abstract Data Types, Doctors Thesis, Technical Report 86-19, Department of Computer Science, State University of New York at Buffalo, Set. 1986 (Morgado, E.M.) [3]
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- A knowledge representation method consisting of a network of nodes, representing concepts or objects, connected by arcs describing the relations between the nodes.
Semantics - The meaning in language.

^ a b Representing categories and relations: Semantic networks, description logics, inheritance, including frames and scripts): Russell & Norvig 2003, pp. 349-354, Poole, Mackworth & Goebel 1998, pp.

model-based diagnosis, belief networks, s, heuristic search, constraint satisfaction)?
How well does it perform? (According to the authors or to an independent review? How does it compare to humans?

and semantic representation of time, events, actions, processes, and entities. Knowledge representation languages include Lisp, Prolog, Smalltalk, OPS-5, and KL-ONE. Structures include rules, scripts, frames, endorsements, and semantic networks.

See also: See also: Knowledge, System, Networks, Information, Process

Artificial Intelligence  Self-similarity  Semantics

 
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