# Applying Boolean discrete methods in the production of a real-valued probabilistic programming model

In this paper we explore the application of some notable Boolean methods, namely the Disjunctive Normal Form representation of logic table expansions, and apply them to a real-valued logic model which utilizes quantities on the range [0,1] to produce a probabilistic programming of a game character's logic in mathematical form.

11/18/2020

### Isoperimetric Inequalities for Real-Valued Functions with Applications to Monotonicity Testing

We generalize the celebrated isoperimetric inequality of Khot, Minzer, a...
12/04/1998

### Name Strategy: Its Existence and Implications

It is argued that colour name strategy, object name strategy, and chunki...
04/23/2019

### A formalization of forcing and the unprovability of the continuum hypothesis

We describe a formalization of forcing using Boolean-valued models in th...
09/05/2021

### Steady state distributions in generalized exclusion processes

The asymmetric simple exclusion process (ASEP) is a model of particle tr...
08/06/2021

### Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem

The typical methods for symbolic regression produce rather abrupt change...
05/19/2020

### On Restricting Real-Valued Genotypes in Evolutionary Algorithms

Real-valued genotypes together with the variation operators, mutation an...
07/22/2019

### Aggregating Probabilistic Judgments

In this paper we explore the application of methods for classical judgme...

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