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Разрешимость многоагентной логики деревьев вычислений 𝒞𝒯 ℒ𝒦𝑅𝑒𝑙

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We continue to explore the multi-agent logic of computational trees relative to the relational Kripke semantics of possible worlds: we investigate the question of logical solvability, the complexity of model construction, feasibility testing, and correctness. For the semantics introduced earlier, we proved a strong finite model property, and obtained polynomial estimates of the dimension of minimal models for an arbitrary formulas. We proved the recursive enumerability of finite frames of logic and proposed an effective algorithm for checking the feasibility of formulas, which makes it possible to conclude the solvability of logic. The obtained polynomial estimates are within the framework of theoretical expectations, which makes it possible to perceive the logic under study as an effective tool for analyzing multi-agent distributed systems and practical modelchecking, and to count on a positive resolution of issues of unification and description of the admissibility for inference rules.

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To make sense of an utterance, people identify in its linear linguistic expression the concepts and the connections between them. A concept normally has a lexical realization; connections between concepts often do not, but they are perceived even without the benefit of lexical cues. Making these connections – called semantic relations in the field of natural language processing – relies on the form and structure of linguistic expressions, and the concepts these expressions evoke. This implies two levels: the level of the text, the linguistic expression with its form and (grammatical) structure, and the level of the concepts which the speaker wants to convey.
 An overview of the literature shows that semantic relations are, for pragmatic reasons, a means to an end – extract information, explain the links between the head of a phrase and its arguments, and so on – and that is why they are analyzed from the perspective of what they link. At the text level, the process of semantic relation analysis is informed by syntactic elements – noun phrases, verbs and their arguments, clauses and so on – thus differentiating semantic relations based on the complexity of the syntactic constructions in which their arguments appear. At the conceptual level, the same semantic relation is assigned to pairs of concepts, regardless of their surface expression. The process can be said to disregard the implications of having syntactic constructions of various complexity correspond to the concepts linked.
 In this article, we propose to put semantic relations first: analyze them, determine what constraints they place on the concepts they connect, and how those concepts can be lexicalized. Lexicalization takes place via expressions of increasing syntactic complexity: phrases, clauses and multi-clause sentences. Next, we show how the linguistic phenomena involved in producing different lexicalizations explain – in a systematic manner – how semantic relations can have instances in syntactic constructions of various complexity. We focus on binary semantic relations between concepts/textual elements within sentences.
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Taking Possible Worlds Seriously
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The discussion so far has been employing the notion of possible worlds, popularized via the semantics of modal logic. How seriously, however, should possible worlds be taken? David Lewis held them to be genuine, concrete worlds, no less real than ours, the actual world, whereas Robert Stalnaker and Saul Kripke take them to be, rather, abstract entities, properties of the actual world—the only real world—which it might possibly possess. I agree with Lewis that possible worlds are no less real than the actual world, but I also agree with Stalnaker that only our world actually exists. I affirm that merely possible worlds, though they lack existence, possess being. I develop the notion of possible worlds, in which possible individuals exist, but also point to unsolved problems, such as how to account for the contingency of the actuality of the actual world.

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