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Graded logic = modeling human commonsense reasoning in decision-making and AI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Graded logic/ by Jozo Dujmović.
其他題名:	modeling human commonsense reasoning in decision-making and AI /
作者:	Dujmović, Jozo.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xii, 349 p. :ill., digital ;24 cm.
內容註:	Graded Propositional Logic in the Context of Decision Making -- Human Centric Approach to Propositional Logic Commonsense Reasoning and Decision Making -- Postulates of Graded Logic as a Fully Continuum-Valued Propositional Logic.
Contained By:	Springer Nature eBook
標題:	Computational Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-88558-7
ISBN:	9783031885587

Graded logic = modeling human commonsense reasoning in decision-making and AI /
Dujmović, Jozo.

Graded logicmodeling human commonsense reasoning in decision-making and AI /[electronic resource] :by Jozo Dujmović. - Cham :Springer Nature Switzerland :2025. - xii, 349 p. :ill., digital ;24 cm. - Intelligent systems reference library,v. 2731868-4408 ;. - Intelligent systems reference library ;v. 273..

Graded Propositional Logic in the Context of Decision Making -- Human Centric Approach to Propositional Logic Commonsense Reasoning and Decision Making -- Postulates of Graded Logic as a Fully Continuum-Valued Propositional Logic.

Observable human commonsense reasoning can be modeled with graded propositional logic. Our approach is distinctive in that all mathematical models are directly linked to specific, observable, and explainable mental activities. Decision-makers evaluate alternatives through perceived gradations of truth, importance, suitability, simultaneity, and substitutability. Each graded variable has a semantic identity, reflecting its role and meaning tied to the goals and interests of a specific decision-maker. Graded logic was introduced 50 years ago, and this book presents its current status based on a half-century of improvements and applications. The book includes examples of decision problems solved using graded logic models. Our aim is to provide readers with a solid theoretical foundation in graded propositional calculus, enabling them to confidently apply the LSP method on complex evaluation and decision problems. Additionally, the book suggests numerous directions for future research and applications.

ISBN: 9783031885587

Standard No.: 10.1007/978-3-031-88558-7doiSubjects--Topical Terms:

1001631
Computational Intelligence.

LC Class. No.: BC177

Dewey Class. No.: 160.15118

Graded logic = modeling human commonsense reasoning in decision-making and AI /
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