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] effectors RBSs application efficiency KR (knowledge representation) efficient movement elitism embodied agents 2nd batching custom optimizations event-driven mechanisms function inlining interfaces 2nd lazy evaluation restrictions 2nd embodiment animats reactive techniques emergence 2nd 3rd behaviors 2nd 3rd 4th 5th affordance 2nd broadcasting environments 2nd functionality 2nd 3rd perception patterns phenomena emergent systems complexity deductability design goals irredeductability emotions 2nd accumulating 2nd 3rd animats 2nd AI techniques 2nd biological models 2nd human/machine interaction 2nd 3rd 4th creating finite state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th designing finite state machines feelings 2nd modeling 2nd 3rd 4th 5th 6th hierarchical architectures interfaces 2nd 3rd 4th 5th 6th 7th design 2nd specifications mannerisms revealing with 2nd 3rd moods hierarchies 2nd 3rd portraying 2nd 3rd 4th 5th primary emotions 2nd designing 2nd 3rd 4th sensations 2nd cognitive sensations combinations degenerate automata prevention 2nd multiple influences 2nd perceptual sensations enemy status 2nd strategic decision making engineering (software) adaptive behaviors analysis phase 2nd 3rd 4th 5th 6th 7th 8th assumptions 2nd guidelines 2nd restrictions 2nd architectures arbitration 2nd behaviors capabilities 2nd modules data-driven engineering native code pattern recognition 2nd practice importance of 2nd 3rd problem solving scripting sequence recognition sequential control 2nd skill requirements specification phase 2nd formal specifications 2nd 3rd KR (knowledge representation) 2nd 3rd 4th KR (knowledge representation); formalisms 2nd KR (knowledge representation); frames KR (knowledge representation); object-attribute-value paradigm 2nd KR (knowledge representation); semantic networks 2nd 3rd KR (knowledge representation); symbols 2nd specification procedure formalizing 2nd 3rd 4th rationalizing 2nd sketching 2nd 3rd 4th understanding phase 2nd 3rd 4th 5th 6th 7th 8th 9th criteria 2nd desired outcome 2nd problem definitions 2nd 3rd entertainment AI importance of defining entropy environments assumptions biological evolution conditions testing detail 2nd doors opening emergent behaviors 2nd affordance 2nd broadcasting functionality 2nd 3rd perception game worlds continuous events 2nd 3rd 4th 5th 6th 7th 8th 9th dimensions 2nd 3rd discrete events 2nd 3rd 4th 5th 6th 7th 8th 9th interfaces choosing 2nd ladders climbing movement criteria 2nd 3rd 4th 5th handling 2nd navigation autonomous navigation 2nd 3rd objects 2nd collecting contraptions 2nd 3rd 4th criteria 2nd 3rd items specification 2nd 3rd 4th 5th 6th 7th test beds 2nd scripting 2nd integrating 2nd 3rd 4th 5th shooting senses space defining 2nd 3rd strategic decision making structure 2nd 3rd weapon selection 2nd 3rd 4th episodic learning problems estimate_damage() function evaluative feedback reinforcement learning 2nd 3rd evasion steering behavior event handling event-driven mechanisms embodied agents evolution genomics 2nd 3rd 4th phenetics 2nd evolutionary algorithms genetic algorithms 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd 23rd 24th 25th 26th 27th 28th 29th 30th 31st 32nd 33rd conversions 2nd 3rd crossovers 2nd 3rd domain knowledge 2nd evolutionary policies 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd 23rd 24th 25th genetic operators 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd 23rd initialization 2nd 3rd 4th mutations 2nd 3rd parameters 2nd populations 2nd 3rd premature convergence 2nd replacements 2nd 3rd selection 2nd 3rd slow convergence 2nd evolutionary data structures evolutionary learning 2nd evolutionary learning algorithms evolutionary outline defensive actions 2nd evolutionary policies genetic algorithms 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd 23rd 24th 25th Excel exhaustive solutions expected returns experimentation phase (development) expert features 2nd expert guidance 2nd expert solutions expert systems fuzzy expert systems explicit design explicit model aiming errors 2nd exploitation learning schemes reinforcement learning 2nd 3rd exploration learning schemes reinforcement learning 2nd 3rd exponential scaling exporting interfaces 2nd expressions linguistic expressions 2nd 3rd expressiveness languages extensibility languages extensions finite state machines custom semantics 2nd fuzzy state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th hierarchical state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd levels of detail 2nd 3rd 4th 5th master/slave relationships 2nd nondeterministic state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th probalistic state machines 2nd 3rd 4th 5th 6th 7th 8th 9th 10th stacks 2nd 3rd RBSs (rule-based systems) 2nd 3rd |