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Content available remote On some properties of grounding nonuniform sets of modal conjunctions
EN
A language grounding problem is considered for nonuniform sets of modal conjunctions consisting of conjunctions extended with more than one modal operator of knowledge, belief or possibility. The grounding is considered in the context of semiotic triangles built from language symbols, communicative cognitive agents and external objects. The communicative cognitive agents are assumed to be able to observe external worlds and store the results of observations in internal knowledge bases. It is assumed that the only meaning accessible to these agents and assigned to modal conjunctions can be extracted from these internal knowledge bases. Commonsense requirements are discussed for the phenomenon of grounding nonuniform sets of modal conjunctions and confronted with an original idea of epistemic satisfaction relation used to define proper conditions for language grounding. Theorems are formulated and proved to show that the communicative cognitive agents based on the proposed model of grounding fulfill some commonsense requirements given for processing sets of nonuniform modal conjunctions. The main result is that the communicative cognitive agents considered can be constructed in a way that makes them rational and intentional as regards the processing of modal conjunctions and from the human point of view.
EN
In this study an original way of modeling language grounding and generation for a simple set of language responses is presented. It is assumed that the language is used by a cognitive agent and consists of a few modal belief and possibility formulas that are used by this agent to communicate its opinions on the current state of an object. The cognitive agent is asked a simple AND query and the language is tailored to this situation. The agent's knowledge bases are characterized by certain incompleteness of information on the current state of objects. The language of the available responses is originally grounded in the agent's previous empirical experience. According to the assumptions of the cognitive linguistics and the phenomenology of knowledge, this experience is the basic source of meaning represented by the available formulas (responses). In the study the idea of an epistemic satisfaction relation is introduced that describes states of the agent's knowledge in which particular formulas are satisfied in the epistemic sense. Additionally, a formal description of the semantic power of formulas is presented. The concepts of the empirical satisfaction relation and the semantic power of formulas are used to define a model of particular language behavior that preserves the assumption of language grounding. Two examples of possible implementations are given. These implementations are basic ones and refer to statistical characteristics of the stored empirical experience of the cognitive agent.
3
Content available remote Strategia wyboru komunikatu modalnego w dialogowym systemie wspomagania decyzji
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.
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