Artificial Intelligence: Fuzzy Logic
Abstract: The Multi-axial Dynamic Threshold Fuzzy Decision Algorithm (MADTFDA) allows the designer to combine two or more constantly changing values and then compare the result to a defined numerical threshold in order to make a decision. MADTFDA is designed as a more flexible replacement for the "weighted sum" approach to combining factors. The additional flexibility is a valuable tool, allowing the designer to easily visualize the interactions of the decision inputs and enabling the programmer to create quick, robust, parameterized decision calls that accurately reflect the needs of the designer. The article covers the concept behind MADTFDA, its various uses as an AI design tool, and the use of the code that is included on the CD-ROM.
Multi-Axial Dynamic Threshold Fuzzy Decision Algorithm
Constructing a Goal-Oriented Robot for Unreal Tournament Using Fuzzy Sensors, Finite-State Machines, and Behavior Networks
A Fuzzy-Control Approach to Managing Scene Complexity
Abstract: Putting game development back into the hands of the game's designers is critical to keeping a project on schedule. How does that happen? What is the easiest way to let a game designer work on their own with a minimum amount of interaction from a technical source? Using Visual Basic for Applications and some basic applications, it is possible to design an interface which does both of these things, as well as having the added benefit of letting finished code stay finished.
Empowering Designers: Defining Fuzzy Logic Behavior through Excel-Based Spreadsheets
Abstract: This article introduces the Free Fuzzy Logic Library (FFLL), an open source library that can load files that adhere to the IEC 61131-7 Fuzzy Control Language (FCL) standard. FFLL provides a solid base of code that you are free to enhance, extend, and improve. Whether used for rapid prototyping or as a component in an AI engine, FFLL can save significant time and money. The entire library and a sample program is included on the book's CD.
An Open Source Fuzzy Logic Library
An Optimized Fuzzy Logic Architecture for Decision-Making
Abstract: Fuzzy Logic provides an attractive alternative to more crisp forms of finite state decision making. This article builds on the presentation of the Finite-State Machine class from the first Game Programming Gems book, by introducing a generic Fuzzy-State Machine class in C++. The concepts of fuzzy logic are presented and an example of applicability for computer game AI is offered. The FSMclass and FSMstate classes from the first GEMS book are converted into fuzzy logic versions, and source code is provided for review.
A Generic Fuzzy State Machine in C++
Imploding Combinatorial Explosion in a Fuzzy System
Fuzzy Logic for Video Games