Author(s)

Alex Tserkovny

Applied AI Services, Brookline, USA.

The article presents an approach toward an implementation of a fuzzy logic-based decision-making process by Autonomous Intelligent Actor (AIA) (© A. Tserkovny), when an input information is defined for its “strategic targeting” by a human operator in terms of a fuzzy incident geometry, whereas its “tactical” behavior (a navigation in space) is directed by fuzzy conditional inference rules. For implementing both elements of AIA decision-making a fuzzy logic [1] for formal geometric reasoning with extended objects is used. This fuzzy logic based fuzzification of axioms of an incidence geometry and a predicate apparatus [2] for AIA space orientation are also presented. The approach, offered in the article, extends predicates of a counter positioning of two objects and their mutual navigation into their fuzzy counterparts. The latter allows AIA to make certain “tactical” decisions.

Fuzzy Logic, Implication, Conjunction, Disjunction, Fuzzy Predicate, Degree of Indiscernibility, Discernibility Measure, Extended Lines Sameness, AIA Orientation Principles

Tserkovny, A. (2022) Some Considerations about Fuzzy Logic Based Decision Making by Autonomous Intelligent Actor. Journal of Software Engineering and Applications, 15, 19-58. doi: 10.4236/jsea.2022.152002.