6. Using AI in Computer Games (Learning Techniques)

NWC603COM – Using AI in Computer Games                                                        Rachel Osho                                                                                                                                              ID: 309740
Assignment 1 – Theory One


Learning Techniques

Q - Learning
Q-Learning is a method that was introduced in 1989 by Watkins. (Wikipedia, n.d)  Q learning which is a reinforcement learning algorithm, this the algorithm was used via Google in order to beat humans whilst playing atari games. As a reinforcment learing algorithm this is one of the types machine learning, this algorithm learns to react to an environment through positive feedback. The term ‘reinforcement learning algorithms’ derives from a set of learning algorithms that is stimulated through the use of behavioural physycology. This is the idea that the algorithm is instructed to carry out specific actions due to previous experiences by means of either rewarding or punishing actions, this can be thought to be similar to a teacher praising a child for he/she’s good behaviour (D, 2017)

Artificial Neural Networks
Artificial neural networks is a learning technique which was biologically inspired. Over the years as many developers have worked with artificial neural networks for large scale behaviour control and have found a flaws in the learning technique as they found weaknesses and disadvantages within the approach. On the other hand this approach has left individuals that are artificial intelligence enthusiasts lost and confused, as they can’t seem to comprehend why exactly they are not being used across and all over within the industry. Where as developers do not share the same viewpoint on ANN’s* as they are often disappointed in regards to the approach’s weaknesses as they view the approach as useless.

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2. Using AI in Computer Games (Hardware constraints AI Engine)

NWC603COM – Using AI in Computer Games                                                        Rachel Osho                                                                                                                                              ID: 309740 Assignment 1 – Theory One Hardware constraints AI Engine Consoles  pcs and mobile phones are all examples of Hardware constraints. The advantages delivery to lots of differents consoles is that a larger market is reched, therefore more this can result in more individuals buying your game. The disadvantages of this is all of the hardware are different resulting in the coding being different.  Player Experience Game play and player experience go hand in hand.  In terms of artificial intelligence in gaming this can improve the players experience. Developers creating a game with AI where AI characters are able to interact or either compete with other players, can help create a much better player experience as it’ll be more
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References/Bibliography

NWC603COM – Using AI in Computer Games                                                        Rachel Osho                                                                                                                                              ID: 309740 Assignment 1 – Theory One Bibliography 1. (2015). [video] Directed by Youtube. 2. D, S. (2017).  Teaching an AI to play a simple game using Q-learning - Practical Artificial Intelligence . [online] Practical Artificial Intelligence. Available at: https://www.practicalai.io/teaching-ai-play-simple-game-using-q-learning/ [Accessed 3 Nov. 2017]. 3. Gallear, W. (2017).  BSc Creative Computing . [online] Prezi. Available at: https://prezi.com/view/m/GsEiZBJDMchJZzfCNaHx/ [Accessed 31 Oct. 2017]. 4. Lent, T. (2017).  NEW WAYS ARTIFICIAL INTELLIGENCE CAN IMPROVE PLAYER EXPERIENCE IN GAMES . [online] PLAYABL.AI. Available at: http://www.playabl.ai/blog/?author=59f0cad38fd4d228041eb6dd [Accessed 4 Nov. 2017]. 5. Millin
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4. Using AI in Computer Games (Pathfinding Concepts)

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