To Know we Need to Share - Information in the Context of Interactive Acquisition of Knowledge

Stacewicz, Paweł; Wlodarczyk, André

doi:10.1016/j.procs.2020.09.006

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…they rely on an inter-subjective consent between their bearers. Languages enable humans to fuse their reciprocal knowledge during instances of communication (Stacewicz and Włodarczyk 2020). This remark suggests the hypothesis about the existence of a sort of elementary presemiotic stage of communicative ability within the brains of certain species of animals but, as for now, more research needs be de done to acquire constructive knowledge on this problem.…”

Section: Concepts and Categories: A Data Science Approach To Semioticsmentioning

confidence: 98%

Concepts and Categories: A Data Science Approach to Semiotics

Wlodarczyk¹

2022

Studies in Logic, Grammar and Rhetoric

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Compared to existing classical approaches to semiotics which are dyadic (signifier/signified, F. de Saussure) and triadic (symbol/concept/object, Ch. S. Peirce), this theory can be characterized as tetradic ([sign/semion]//[object/noema]) and is the result of either doubling the dyadic approach along the semiotic/ordinary dimension or splitting the ‘concept’ of the triadic one into two (semiotic/ordinary). Other important features of this approach are (a) the distinction made between concepts (only functional pairs of extent and intent) and categories (as representations of expressions) and (b) the indication of the need for providing the mathematical passage from the duality between two sets (where one is a singleton) within systems of sets to category-theoretical monoids within systems of categories while waiting for the solution of this problem in the field of logic. Last but not least, human language expressions are the most representative physical instances of semiotic objects. Moreover, as computational experiments which are possible with linguistic objects present a high degree of systematicity (of oppositions), in general, it is relatively easy to elucidate their dependence on the concepts underlying signs. This new semiotic theory or rather this new research program emerged as the fruit of experimentation and reflection on the application of data science tools elaborated within the frameworks of Rough Set Theory (RST), Formal Context Analysis (FCA) and, though only theoretically, Distributed Information Logic (DIL). The semiotic objects (s-objects) of this theory can be described in tabular datasets. Nevertheless, at this stage of formalisation of the theory, lattices (not trees) can be used as working representation structures for characterizing the components of concept systems and graphs for categories of each layer.

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Section: Concepts and Categories: A Data Science Approach To Semioticsmentioning

confidence: 98%

Concepts and Categories: A Data Science Approach to Semiotics

Wlodarczyk¹

2022

Studies in Logic, Grammar and Rhetoric

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“…For example, during the design of a cognitive semantics we simultaneously refer to chosen aspects of organization, a degree of processing and completeness of accumulated experience, while accepting as fact that the reference and its correlation with the symbol (in the sense assumed within the semiotic triangle) are very complex in its nature. Such an approach relates not only to a diverse theoretical apparatus devised by the cognitive grammar [29,30], but also to other proposals such as the Distributed Grammar program [34], which is an integrative theoretical framework aiming to cover the relatively complex structure of natural language utterances in general. More details on the Distributed Grammar program can be found, among others, in [35][36][37][38][39].…”

Section: Related Workmentioning

confidence: 99%

“…The latter mechanisms are responsible for variants of the way in which the agent's belief of the same content can be presented in individual natural languages. It is also worth recalling that their integration with other cognitive mechanisms participating in the construction of external linguistic representations is the focus of research carried out under the so-called Distributed Grammar program [34][35][36][37][38][39].…”

Section: The Intuitive Meaning and Syntax Of Autoepistemic Membership...mentioning

confidence: 99%

Implementing Cognitive Semantics of Autoepistemic Membership Statements: The Case of Categories with Prototypes

Katarzyniak,

Popek,

Żurawski

2024

Applied Sciences

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This article presents a model of an architecture of an artificial cognitive agent that performs the function of generating autoepistemic membership statements used to communicate beliefs about the belonging of an observed external object to a category with a prototype. The meaning of statements is described within the model by means of cognitive semantics. The presented proposal builds upon a pre-existing architecture and a semantic model designed for a simpler case of categories without a prototype. The main conclusion is that it is possible to develop an interactive cognitive agent capable of learning about categories with prototypes and producing autoepistemic membership statements fulfilling requirements of Rosch’s standard version of prototype semantics and satisfying pragmatic and logical rules for generating equivalents of these statements in natural languages. Detailed results include the following: an original proposal for an agent’s architecture, a model of an agent’s strategy of learning categories with a prototype, a scheme for determining the computational complexity of particular implementations of the learning strategy, definitions of cognitive semantics for particular cases of autoepistemic membership statements, and an analytical verification of properties of the proposed cognitive semantics. Finally, this article discusses the directions of further development and potential variants of the proposed architecture.

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To Know we Need to Share - Information in the Context of Interactive Acquisition of Knowledge

Cited by 2 publications

References 7 publications

Concepts and Categories: A Data Science Approach to Semiotics

Concepts and Categories: A Data Science Approach to Semiotics

Implementing Cognitive Semantics of Autoepistemic Membership Statements: The Case of Categories with Prototypes

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