Logical agent

Artificial intelligence - Lecture 9: Propositional logic. This lecture provides students with content including: knowledge-based agents; propositional logic; language of propositional logic; formal language of propositional logic; semantic of propositional logic; inference in propositional logic; forward chaining;... Please refer to the detailed content of the lecture!

13p codabach1016 03-05-2024 3 2   Download

Part 1 book "Artificial intelligence - A modern approach" includes content: Introduction, intelligent agents, solving problems by searching, beyond classical search, adversarial search, constraint satisfaction problems, logical agents, first order logic, inference in first order logic, classical planning, planning and acting in the real world, knowledge representation, quantifying uncertainty, probabilistic reasoning.

584p muasambanhan05 16-01-2024 6 1   Download

Lecture "Artificial intelligence - Lesson 6: Logical agent" presents the following contents: knowledge-based agents; wumpus world; logic in general - models and entailment; propositional (boolean); equivalence, validity;... We invite you to take a look at the content of the lecture.

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Chapter 7: Logical agents. The main contents of this chapter include all of the following: Knowledge-based agents, wumpus world, logic in general—models and entailment, propositional (boolean) logic; equivalence, validity, satisfiability; inference rules and theorem proving.

12p cucngoainhan0 10-05-2022 24 3   Download

Lecture Artificial Intelligence - Chapter 7: Logical agents. The main contents of this chapter include all of the following: Knowledge-based agents, wumpus world, logic in general—models and entailment, propositional (boolean) logic; equivalence, validity, satisfiability; inference rules and theorem proving.

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In this paper, we employ DEL with awareness for multi-agent to represent the predictability and model the typical criminal precedents. We propose a revised semantics of action model with awareness which can de¯ne each basic action model to reproduce the agent's considering process.

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(bq) part 1 book "artificial intelligence - a modern approach" has contents: introduction, intelligent agents, solving problems by searching, beyond classical search, adversarial search, constraint satisfaction problems, logical agents, inference in first order logic, inference in first order logic,.... and other contents.

585p bautroibinhyen20 06-03-2017 89 16   Download

Logical Agents: Chapter 6 sau đây bao gồm những nội dung về Knowledge-based agents, Logic tổng quát, Logic mệnh đề, tương đương logic; suy luận logic và chứng minh định lý, phương pháp hợp giải, lập luận tiến, lập luận lùi.

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A prerequisite to a theory of the way agents understand speech acts is a theory of how their beliefs and intentions are revised as a consequence of events. This process of attitude revision is an interesting domain for the application of nonmonotonic reasoning because speech acts have a conventional aspect that is readily represented by defaults, but that interacts with an agent's beliefs and intentions in many complex ways that may override the defaults.

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In order to represent speech acts, in a multi-agent context, we choose a knowledge representation based on the modal logic of knowledge KT4 which is defined by Sato. Such a formalism allows us to reason about knowledge and represent knowledge about knowledge, the notions of truth value and of definite reference.

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The cAMP-dependent protein kinase (PKA) signaling pathway plays a major role in a number of pathophysio-logical conditions. However, there have been conflicting evidences regarding the action of cAMP/PKA on nuclear factor-jB(NF-jB). Inthis study,wehaveexplored the effect of cAMP/PKA on NF-jBactivity and determined its molecular mechanism. PKA activating agents or expression of thecatalyticsubunitofPKA(PKAc) inhibitedtheNF-jB-dependent reporter gene expression induced by tumor nec-rosis factora(TNFa). ...

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The information state of an agent is changed when a text (in natural language) is processed. The meaning of a text can be taken to be this information state change potential. The inference of a consequence make explicit something already implicit in the premises - - i.e. that no information state change occurs if the (assumed) consequence text is processed after the (given) premise texts have been processed. Elementary logic (i.e.

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Sarcoidosis is one of the best-known systemic granulomatous diseases. Despite intensive investigation, however, the etiology of sarcoidosis has remained unresolved for more than 100 years [1]. Sarcoidosis seems to result from the exposure of a genetically susceptible subject to an environmental agent, and microbial etiologies of sarcoidosis have long been considered based on the clinical similarities to infectious granulomatous diseases [2].

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Transmissible spongiform encephalopathies (TSEs), or prion diseases, are fatal neurodegenerative disorders caused by an infectious agent termed a prion, which can convert normal cellular prion protein (PrP C ) into a patho-logically misfolded isoform (PrP Sc ). Taking advantage of protein misfolding cyclic amplification (PMCA), a series of experiments was conducted to investigate the possible influences of pyridine nucleotides on the propaga-

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Possibilities can be explained from several semantic aspects. One way to explain possibility is ease of achievement. Another way is plausibility; that is, the propensity of an event to occur, which relates to the concept of “potential surprise”. A third way to explain possibility is logical consistency with available information. Finally, possibility can be explained as preference, referring to the willingness of an agent to make a decision. Possibility is dually related to necessity in the sense that “not A” being not possible means that A is necessary.

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Control measures for pneumonia (Table 125-2) are aimed at the remediation of risk factors in general patient care (e.g., minimizing aspirationprone supine positioning) and at meticulous aseptic care of respirator equipment (e.g., disinfecting or sterilizing all inline reusable components such as nebulizers, replacing tubing circuits at intervals of 48 h—rather than more frequently—to lessen the number of breaks in the system, and teaching aseptic technique for suctioning).

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11 At the Margins of Orthodoxy 11.1. Games, Evolution and Growth 11.1.1. Game theory Game theory was formulated as a logical instrument for investigating situations in which the results of the choices of some agents are at least partially determined by the choices of other agents with conflicting interests.

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The data layer can be broken into three sublayers in most applications. They are the data storage layer, the data access layer, and the service agent, as shown in Figure 1-1. The data storage layer provides the mechanism for storing and managing your application data, and the data access layer provides the logic needed to retrieve and manipulate data.

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