Experiencing Belugas: Action Selection for an Interactive Aquarium Exhibit

@article{citeulike:1291099, abstract = {In this article we present a case study of an action-selection system designed with adaptive techniques to create a virtual beluga aquarium exhibit. The beluga interactive exhibit uses a realistic three-dimensional simulation system, which allows the virtual belugas, in a natural pod context, to learn and alter their behavior based on contextual visitor interaction. Ethogram information on beluga behavior was incorporated into the simulation, which uses physically based systems for natural whale locomotion and water, artificial intelligence systems including modified neural networks and a reactive hierarchical action-selection mechanism to simulate real-time natural individual beluga and group behavior. The beluga's behavioral system consists of two layers: a low-level navigation system and a high-level reaction hierarchical action-selection system. The system is designed to be run on consumer level hardware while maintaining real-time speeds. 10.1177/1059712306076251}, author = {Dipaola, Steve and Akai, Caitlin and Kraus, Bill }, citeulike-article-id = {1291099}, doi = {http://dx.doi.org/10.1177/1059712306076251}, journal = {Adaptive Behavior}, keywords = {action\_selection, ai, alife, simulation, whales}, month = {March}, number = {1}, pages = {99--113}, posted-at = {2007-05-12 07:00:06}, priority = {2}, title = {Experiencing Belugas: Action Selection for an Interactive Aquarium Exhibit}, url = {http://dx.doi.org/10.1177/1059712306076251}, volume = {15}, year = {2007} }

TY - JOUR ID - citeulike:1291099 L3 - citeulike-article-id:1291099 TI - Experiencing Belugas: Action Selection for an Interactive Aquarium Exhibit JF - Adaptive Behavior VL - 15 IS - 1 SP - 99 EP - 113 N2 - In this article we present a case study of an action-selection system designed with adaptive techniques to create a virtual beluga aquarium exhibit. The beluga interactive exhibit uses a realistic three-dimensional simulation system, which allows the virtual belugas, in a natural pod context, to learn and alter their behavior based on contextual visitor interaction. Ethogram information on beluga behavior was incorporated into the simulation, which uses physically based systems for natural whale locomotion and water, artificial intelligence systems including modified neural networks and a reactive hierarchical action-selection mechanism to simulate real-time natural individual beluga and group behavior. The beluga's behavioral system consists of two layers: a low-level navigation system and a high-level reaction hierarchical action-selection system. The system is designed to be run on consumer level hardware while maintaining real-time speeds. 10.1177/1059712306076251 KW - action_selection KW - ai KW - alife KW - simulation KW - whales AU - Dipaola, Steve AU - Akai, Caitlin AU - Kraus, Bill PY - 2007/03/01/ UR - http://dx.doi.org/10.1177/1059712306076251 ER -