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| preface 1. introduction to game ai deterministic versus nondeterministic ai established game ai the future of game ai 2. chasing and evading basic chasing and evading line-of-sight chasing line-of-sight chasing in tiled environments intercepting 3. pattern movement standard algorithm pattern movement in tiled environments pattern movement in physically simulated environments 4. flocking classic flocking flocking example obstacle avoidance follow the leader 5. potential function-based movement .how can you use potential functions for game ai? chasing/evading obstacte avoidance swarming optimization suggestions 6. basic pathfinding and waypoints basic pathfinding breadcrumb pathfinding path following wall tracing waypoint navigation 7. a* pathfinding defining the search area starting the search scoring finding a dead end terrain cost influence mapping further information 8. scripted al and scripting engines scripting techniques scripting opponent attributes basic script parsing scripting opponent behavior scripting verbal interaction scripting events further information 9. finite state machines basic state machine model finite state machine design ant example further information 10. fuzzy logic how can you use fuzzy logic in games? fuzzy logic basics control example threat assessment example 11. rule-based ai rule-based system basics fighting game strike prediction further information 12. basic probability how do you use probability in games? what is probability? probability rules conditional probability 13. decisions under uncertainty--bayesian techniques what is a bayesian network? trapped? treasure? by air or land kung fu fighting further information 14. neural networks dissecting neural networks training neural network source code chasing and evading with brains further information 15. genetic algorithms evolutionary process evolving plant life genetics in game development further information appendix: vector operations index |
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