Statemental analysis for intelligent systems

Xinjia Chen

doi:10.1117/12.2663295

14 June 2023 Statemental analysis for intelligent systems

Xinjia Chen

Proceedings Volume 12549, Unmanned Systems Technology XXV; 125490M (2023) https://doi.org/10.1117/12.2663295
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

In today’s world, intelligent systems are expected to handle diverse types of events that can be represented as dichotomy, probabilistic, fuzzy, or mixed statements. This paper proposes an analytic framework called “statemental analysis,” which deals with the operations and truth values of finite and infinite sequences of statements of various categories. The framework treats vagueness and randomness in a unified manner using the concepts of statemental algebra and truth calculus. It allows for generalization of many results in probability theory to statements with significant implications. We demonstrate the utility of the proposed framework with an example of reliability analysis of uncertain systems.

Citation Download Citation

Xinjia Chen "Statemental analysis for intelligent systems", Proc. SPIE 12549, Unmanned Systems Technology XXV, 125490M (14 June 2023); https://doi.org/10.1117/12.2663295

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