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A Note on Nonemptiness of Cognitive Semantics for Linguistic Representations of Modal Equivalence

Katarzyniak R., Więcek D.

Computational Methods in Science and Technology

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2018

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Vol. 24, No. 4

301--315

EN

In this paper we deal with an original model of technically oriented cognitive semantics of modal equivalences, stated in semi-controlled natural languages and used as surface linguistic representations of internal knowledge states of artificial autonomous systems. The cognitive semantics is defined to support generation of natural language statements extended with auto-epistemic operators of modality, representing subjectively experienced certainty, strong belief and week belief of the autonomous system that the relationship between occurrence of two chosen properties in a real object is the logical equivalence relation. An internal architecture of the autonomous system is briefly presented with particular emphasis on computational modules responsible for verification of compliance of current knowledge processing states with states described by the cognitive semantics as proper for application of a particular case of modal equivalence. The major issue discussed in the paper concerns an original theory of grounding of modal equivalences in empirical knowledge resources, encapsulated in the autonomous system. The whole theory consists of theorems describing basic and advanced properties of the cognitive semantics. In the paper, the attention is limited to presentation and proof of four theorems about nonemptiness of the proposed cognitive semantics. The research results cover the next stage of some research and development efforts, concerning the technical implementation of cognitive computing models, describing the artificial generation of semi-natural languages by the interactive autonomous system to describe their encapsulated knowledge resources.

2

Some Notes on Extracting Linguistic Summaries Built with Epistemic Modalities and Natural Language Connectives of Equivalence

Katarzyniak R., Lorkiewicz W., Więcek D.

Computational Methods in Science and Technology

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2017

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Vol. 23, No. 1

19--41

EN

In this paper we deal with an original technically oriented model for cognitive semantics. As the expected area of application we focus on the process of extraction of modal linguistic summaries from data managed by autonomous components of ambient systems and intelligent environments. As such, the cognitive semantics is defined for a particular case of modal natural language statements with epistemic modalities. The statements of interest are built with natural language operators, representing epistemic modalities (related to the main cognitive states of knowledge certainty: full certainty, strong belief and epistemic possibility), and natural language connectives of equivalence. Furthermore, an approach to their effective processing by autonomous computational systems is designed. An internal architecture of the autonomous computational component is designed with respect to modular model for natural language processing with separate modules for epistemic and semantic memory storage and processing. An original theoretical concept underlying the model of semantic memory is a holon defined as a collection of complementary linguistic protoforms. Finally, we provide several illustrative computational examples of linguistic summaries’ extraction, based on artificial and real data.

3

Multi-participant Interaction in Multi-agent Naming Game

Lorkiewicz W., Katarzyniak R.

Computational Methods in Science and Technology

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2014

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Vol. 20, No. 2

59--80

EN

In this paper we analyse the influence of different interaction patterns on the behaviour of alignment processes in multi-agent Naming Game. We begin by introducing a meta-model of the Language Game that serves as a generalisation of the classical approach and facilitates better organisation and structuring of future research in the field. Further, we investigate the process against three interaction patterns (pair-wise, multi-speaker, and multi-hearer). The pair-wise interaction pattern involves a single speaker and a single hearer, participating in a single linguistic interaction; the multi-speaker and the multi-hearer interaction patterns assume multiple speaking and multiple hearing agents, respectively, involved in a single act of communication. All new types of interactions shape the performance of alignment processes that create the naming-convention. We show that the iteration-wise multi-participant patterns result in a visible improvement (increasing the number of speakers and the number of hearers results in a decrease of the number of interactions needed to reach a particular level of coherence), as compared to the classical pair-wise pattern. We show that an increase of the number of speakers and the number of hearers in multi-participant settings results in a decrease of the number of interactions, needed to reach a particular level of coherence.

4

Strategia wyboru komunikatu modalnego w dialogowym systemie wspomagania decyzji

Katarzyniak R., Pieczyńska-Kuchtiak A.

Badania Operacyjne i Decyzje

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2004

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nr 1

21-35

PL

Przedstawiono strategię udzielania odpowiedzi modalnych przez interaktywny system wspomagania decyzji. Rozpatrzono sytuację niekompletności wiedzy systemu na temat stanu świata (obiektu sterowania), wymuszającą koniecznością generowania odpowiedzi zbudowanych z modalnych operatorów przekonań i możliwości. Przyjęto, że system dysponuje językiem złożonym z modalnych rozszerzeń wybranych formuł i rachunku zdań.

EN

A strategy for the of modal response by an interactive decision support system is presented. The situation of incomplete knowledge of the world (control object) is considered. The response are modal belief and possibility extensions of logic formulas. The strategy has been originally used for communicative cognitive agents and is tailored to model some aspects of information processing in a business organisation. This organisationis treated as a conceptual agent in which particular observations of the world's states are stored in distributed databases. All observations are then re-processed in order to store them in a certain data warehouse from which the responses are extracted. The consensus-based algorithm for the choice of the most relevant response is given.