| Uploader: | Artashes |
| Date Added: | 11.05.2017 |
| File Size: | 70.44 Mb |
| Operating Systems: | Windows NT/2000/XP/2003/2003/7/8/10 MacOS 10/X |
| Downloads: | 43170 |
| Price: | Free* [*Free Regsitration Required] |
[PDF] AI Techniques for Game Programming | Semantic Scholar
From the Publisher: AI Techniques for Game Programming takes the difficult topics of genetic algorithms and neural networks and explains them in plain English. Gone are the tortuous mathematic equations and abstract examples to be found in other blogger.com by: Ai Techniques For Game Programming Codes and Scripts Downloads Free. A Application-Level Graphic User Interface for game programming. The OGT Library is a set of open source libraries you can use for game programming. Game AI techniques from algorithmic approach to machine learning. Pages 1– Previous Chapter "A Dynamic Reputation System Based on Event Knowledge", , AI Game Programming Wisdom Google Scholar; Richard Rouse III, "Postmortem: The Game Design of Surreal's The Suffering View or Download as a PDF file. PDF. eReader. View online.
Ai techniques for game programming pdf download
If you like the ai-junkie tutorials then you'll love this. Although it's aimed at game developers it's useful to anyone wanting to learn about genetic algorithms and artificial neural networks with as much ai techniques for game programming pdf download and as few headaches as possible. Here are links to some reviews of the book, ai techniques for game programming pdf download. Table Of Contents. Introduction from the author. An overview of the book and its aims.
Introduction to Windows Programming. Chapter 1: Hello World! A brief history of MS Windows. Your first Windows program. Creating your first ai techniques for game programming pdf download. The Windows message pump. The Windows procedure. Keyboard input. Chapter 2: Further Adventures with Windows Programming. The windows GDI. Device contexts. Pens, Brushes, Lines, Curves and Colors, ai techniques for game programming pdf download. A real-time message pump. How to create and use a back buffer.
These first couple of chapters run you through the win32 programming stuff you need to know to understand the code projects in the book. If you already know this stuff then pretend it's not there!
Genetic Algorithms. Chapter 3: The Birds and the Bees. Evolution in nature. The digital approach. The genetic algorithm loop. Roulette wheel selection. Save Bob! Encoding the chromosome. The Epoch function. Choosing the parameter values. Roulette wheel selection revisited. Crossover revisited. Mutation revisited. Running the program. Stuff to Try. Chapter 4: A Different Type of Encoding. Permutation encoding. The Travelling Salesman Problem.
Traps to avoid. The permutation crossover operator. The exchange mutation operator. Deciding on a fitness function. Putting it all together. Stuff to try. Chapter 5: Our Salesman gets Smarter. Alternative permutation mutation operators. Alternative permutation crossover operators. Optimizing your GA. The fitness landscape. Selection Techniques. Steady state. Tournament selection. Scaling Techniques. Rank scaling. Sigma scaling. Boltzmann scaling. Generic Crossover Operators. Single point.
Two point. Niching Techniques. Fitness sharing. Chapter 6: Learning to Land on the Moon. Introducing behavioral encoding. Description of the project. Mathematics and physics The manned lunar lander project.
The GA controlled lunar lander project. Encoding the genome. The crossover and mutation operators. The fitness function. Neural Networks. Chapter 7: Neural Networks in Plain English. Structure and development of a human brain. Properties of a human brain. Artificial Neurons. The step activation function. Mathematical notation. Structure of artificial neural networks.
Overview of supervised and unsupervised learning. The Smart Minesweeper Project. Choosing the outputs. The sigmoid activation function. Choosing the inputs. Deciding on hidden units. Descriptions of the classes used in the project. Encoding the neural networks. A floating point genetic algorithm.
Performance Improvements. A new crossover operator. Reducing the inputs. Chapter 8: Giving your Bot Senses. Obstacle Avoidance. Creating sensors. A new fitness function. Project settings. Creating a memory. Implementing the memory.
Is this the BEST BOOK on Machine Learning? Hands On Machine Learning Review
, time: 5:31Ai techniques for game programming pdf download
AI Techniques For Game Programming CodeForge Source Codes; Point; Help; Language. Ai> B: blogger.com B: Bad download - only has the pdf and not the sourcecode. paperboydavy. getting coins is fun getting coins is fun getting coins is fun. Feb 07, · AI techniques for game programming source code? Started by Zero Volt with 4 replies, last by Whorse on May 13, PM. Artificial Intelligence Programming. Zero Volt 95 May 13, PM or do some stuff to gain points and THEN YOU CAN DOWNLOAD THE SOURCE CODE!!!! Cancel Save. IADaveMark 3, Game AI techniques from algorithmic approach to machine learning. Pages 1– Previous Chapter "A Dynamic Reputation System Based on Event Knowledge", , AI Game Programming Wisdom Google Scholar; Richard Rouse III, "Postmortem: The Game Design of Surreal's The Suffering View or Download as a PDF file. PDF. eReader. View online.
No comments:
Post a Comment