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AI Game Programming for Beginners (Paperback) (ISBN-13: 9781481833387)
Vendor:
Uditha Bandara
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Books
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Description
xAI Game Programming for Beginners Chapter 01 - Pathfinding
Path finding is about finding the best path to the destination. This chapter focus in Breadth-First, Best-First, and A* (A-Star) pathfinding algorithms.
1. Pathfinding algorithms.
* Breadth-First. * Best-First. * A* (A-Star).
2. Implementing pathfinding in XNA.
* Creating realistic enemy movement sample. Chapter 02 - Chase, Evade and Wander
Chase and Evade AI behavior can be used in situations like enemy AI implementations. Wandering AI can be used for AI based characters in virtual worlds.
1. Chase and evade algorithm.
*One object turn toward another object (Chase). *One object turn away from another object (Evade). 2. Wandering AI algorithm.
* Object behavior is not effecting to another object. (Wander)
3. Implementing chase, evade and wander AI in XNA.
* Cat, Mouse and Dog objects behaving for Chase, Evade and Wander. Chapter 03 - Aiming
Aiming can be useful to create projectile based enemy AI shooting. Algorithm will decide best suitable gun projection.
1. Aiming projectile algorithm.
* One 2d object aim toward another object for spotlights, guns etc.
2. Implementing Aiming in XNA.
* Aiming for enemy object by using a spotlight. Chapter 04 - Tactical and strategic AI RTS games use waypoint navigation to follow orders in moving units. It could be linear behavior for enemy units or steering behavior for vehicles.
1. Linear and steering waypoint algorithm.
* Object following specific path that provided by the user.
2. Implementing waypoint algorithm in XNA.
* RTS units (both human and vehicle objects) following orders to go on the specify path. Chapter 05 - Flocking Flocking AI model can be used for collective animal behaviors of birds, fish, insects etc. Separation, Alignment and Cohesion are key properties of flocking AI behavior.
1. Flocking algorithm with separation, Alignment and Cohesion.
* Set of objects formation to create similar behavior.
2. Implementing flocking in XNA.
* Creating both birds and insects flocking behaviors sample.
Author: Uditha Bandara
ISBN-10: 1481833383
ISBN-13: 9781481833387
Publisher: Createspace Independent Publishing Platform
Language: English
Published: 12/24/2012
Pages: 174
Format: Paperback
Weight: 0.92lbs
Size: 11.00h x 8.50w x 0.45d
Path finding is about finding the best path to the destination. This chapter focus in Breadth-First, Best-First, and A* (A-Star) pathfinding algorithms.
1. Pathfinding algorithms.
* Breadth-First. * Best-First. * A* (A-Star).
2. Implementing pathfinding in XNA.
* Creating realistic enemy movement sample. Chapter 02 - Chase, Evade and Wander
Chase and Evade AI behavior can be used in situations like enemy AI implementations. Wandering AI can be used for AI based characters in virtual worlds.
1. Chase and evade algorithm.
*One object turn toward another object (Chase). *One object turn away from another object (Evade). 2. Wandering AI algorithm.
* Object behavior is not effecting to another object. (Wander)
3. Implementing chase, evade and wander AI in XNA.
* Cat, Mouse and Dog objects behaving for Chase, Evade and Wander. Chapter 03 - Aiming
Aiming can be useful to create projectile based enemy AI shooting. Algorithm will decide best suitable gun projection.
1. Aiming projectile algorithm.
* One 2d object aim toward another object for spotlights, guns etc.
2. Implementing Aiming in XNA.
* Aiming for enemy object by using a spotlight. Chapter 04 - Tactical and strategic AI RTS games use waypoint navigation to follow orders in moving units. It could be linear behavior for enemy units or steering behavior for vehicles.
1. Linear and steering waypoint algorithm.
* Object following specific path that provided by the user.
2. Implementing waypoint algorithm in XNA.
* RTS units (both human and vehicle objects) following orders to go on the specify path. Chapter 05 - Flocking Flocking AI model can be used for collective animal behaviors of birds, fish, insects etc. Separation, Alignment and Cohesion are key properties of flocking AI behavior.
1. Flocking algorithm with separation, Alignment and Cohesion.
* Set of objects formation to create similar behavior.
2. Implementing flocking in XNA.
* Creating both birds and insects flocking behaviors sample.
Author: Uditha Bandara
ISBN-10: 1481833383
ISBN-13: 9781481833387
Publisher: Createspace Independent Publishing Platform
Language: English
Published: 12/24/2012
Pages: 174
Format: Paperback
Weight: 0.92lbs
Size: 11.00h x 8.50w x 0.45d
By Uditha Bandara
xUditha Bandara is specializes in Game development for Windows Phone, Xbox 360, PC, and Zune. He is the South East Asia's First XNA/DirectX MVP (Most Valuable Professional). He had delivered sessions at various events and conferences in Singapore, Hong Kong, Sri Lanka and India. He has published several articles, tutorials, and game demos on his XNA Game Development Blog - http: //uditha.wordpress.co
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