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] narrow intelligence native code native interfaces navigation 2nd 3rd 4th artificial life 2nd autonomous navigation 2nd 3rd criteria 2nd 3rd 4th 5th game AI robotics systems steering behaviors 2nd AL (artificial life) 2nd 3rd 4th 5th 6th 7th 8th 9th nested states hierarchical state machines 2nd 3rd net sums perceptron output determining 2nd 3rd 4th neural networks perceptrons 2nd 3rd 4th 5th Adaline (adaptive linear neurons) biologically inspired model 2nd inputs 2nd 3rd 4th McCulloch, Warren and Frank Pitts MLPs (multilayer perceptrons) 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 34th 35th 36th 37th 38th 39th 40th 41st 42nd 43rd 44th 45th 46th 47th 48th 49th 50th 51st 52nd 53rd 54th 55th optimization 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 outputs 2nd 3rd 4th Rosenblatt, Frank 2nd simulation 2nd 3rd 4th 5th 6th 7th 8th 9th 10th training procedures 2nd 3rd 4th 5th 6th 7th 8th 9th neurons perceptrons 2nd 3rd noise dealing with 2nd 3rd nondeterminism nondeterministic components nondeterministic state machines 2nd 3rd 4th 5th 6th 7th algorithms simulation 2nd arrays 2nd deterministic conversions 2nd directed graphs nondeterministic finite state automaton 2nd nondeterministic finite state machines 2nd 3rd nouvelle AI 2nd 3rd 4th nouvelle game AI animats learning 2nd 3rd 4th 5th 6th NPCs RBSs (rule-based systems) numeric optimization perceptrons nuumeric integration prediction of movement |