Semantic network approaches view organization or representation of internal lexicon in the form of either spreading or hierarchical system identified, respectively, as Spreading Activation Model (SAM) and Hi- erarchical Network Model (HNM). However, the validity of either model is amongst the intact issues in the literature which can be studied through basing the instruction compatible wi...

Editorial abstract In this overview, Author presents the development of his approach—the twofactor account of delusions—drawing attention to the neuropsychological research on delusions (the role of brain damage in the formation of delusions), as well as to the differences between explaining monothematic and polythematic delusions (this differentiation is not analyzed in detail in the present v...

Interaction between robots and humans should be at a level which is accessible and natural for human operators. A lexicon template is proposed for specifying commands for 2D mobile robot navigational tasks. The language lexicon is a minimal spanning semantic set for human 2D navigational tasks. The task command lexicon consists of a verb, destination, direction and a speed. The destination is a...

This paper shows how DATR, a widely used formal language for lexical knowledge representation, can be used to de ne an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as covariation constraints within feature structures. Such an approach eliminates the considerable redundan...

This paper shows how DATR, a widely used formal language for lexical knowledge representation, can be used to define an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as covariation constraints within feature structures. Such an approach eliminates the considerable redunda...

This paper shows how DATR, a widely used formal language for lexical knowledge representation , can be used to deene an LTAG lexicon as an inheritance hierarchy with internal lexical rules. A bottom-up featural encoding is used for LTAG trees and this allows lexical rules to be implemented as co-variation constraints within feature structures. Such an approach eliminates the considerable redund...