AI Game Development: Synthetic Creatures with Learning and Reactive Behaviors
| [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] ladders climbing fuzzy rules languages completeness domain-specific languages expressiveness extensibility scripting languages 2nd layers agents layouts environments weapon selection 2nd lazy evaluation embodied agents LCSs (learning classifier systems) 2nd architecture 2nd 3rd classifiers 2nd 3rd 4th 5th 6th action selection 2nd creating 2nd matching predictions 2nd reinforcement 2nd 3rd removing 2nd leaf nodes DTs (decision trees) learning adaptive behaviors AI engineering debugging 2nd design 2nd 3rd 4th methodologies 2nd problems 2nd 3rd 4th 5th programming testing 2nd animats 2nd 3rd 4th 5th 6th adaptation algorithms optimization reactive techniques teaching LCSs 2nd (learning classifier systems) 2nd action selection 2nd 3rd 4th 5th architecture 2nd 3rd classifier creation 2nd classifier matching classifier removal 2nd classifiers 2nd 3rd 4th predictions 2nd mechanisms 2nd 3rd reinforcement learning 2nd 3rd 4th 5th 6th actions adaptive gathering behaviors 2nd 3rd advantages algorithms 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th approximators 2nd backups 2nd 3rd behavior policies 2nd 3rd bootstrapping 2nd convergence 2nd decomposition 2nd 3rd 4th 5th disadvantages 2nd hierarchies 2nd in-game situations 2nd Markov decision processes 2nd 3rd model 2nd movement modeling 2nd 3rd 4th optimal returns 2nd 3rd problems problems; exploitation 2nd 3rd problems; exploration 2nd 3rd reward signals 2nd 3rd shooting 2nd 3rd 4th states value functions 2nd 3rd 4th 5th 6th 7th 8th 9th 10th weapon fitness 2nd 3rd weapon properties 2nd 3rd weapon selection learning algorithms learning classifier systems (LCSs) [See LCSs (learning classifier systems)]2nd [See LCSs (learning classifier systems)] learning policies adaptive gathering behaviors learning systems adaptation batch learning behaviors designing 2nd evolutionary learning 2nd facts imitation incremental learning interoperability 2nd knowledge misidentification 2nd offline games online games optimization procedures purpose of 2nd 3rd 4th 5th 6th 7th 8th reinforcement learning 2nd representation overlaps shaping supervised learning 2nd training trial and error unsupervised learning leave nodes DTs 2nd 3rd levels of detail state machines 2nd 3rd 4th 5th line traces linear approximation aiming errors 2nd 3rd linear scaling linguistic expressions fuzzy set theory 2nd 3rd linguistic modifiers linguistic variables fuzzy set theory 2nd 3rd 4th lists genetic operators 2nd 3rd 4th local minima perceptrons 2nd 3rd locomotion systems locomotions animats logic control logic finite state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th fuzzy logic 2nd 3rd fuzzy set theory 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th algorithms 2nd defuzzification 2nd 3rd 4th 5th fuzzification 2nd 3rd interpreters 2nd 3rd 4th 5th 6th 7th knowledge base 2nd 3rd linguistic expressions 2nd 3rd modifiers 2nd 3rd 4th 5th movement behaviors 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st objections 2nd 3rd operators 2nd variables 2nd 3rd 4th 5th working memory long distances weapon selection |