Title :
Storage, degradation and recall of agent memory in Serious Games and Simulations
Author :
Irvine, David ; Gongora, Mario
Author_Institution :
Inst. of Creative Technol., De Montfort Univ., Leicester, UK
Abstract :
This paper describes our novel method for creating AI Agents that store and recall memories in a biologically inspired manner. We consider research on biological systems and note the limits on these systems in terms of both storage and recall capacity. We also examine existing technological methods for storing memories in Intelligent Agent systems and discuss their limitations for use in Serious Games and Simulations. We then suggest our own method for storing memories, degrading them over time, arranging and searching them and retrieving them in a realistic fashion.
Keywords :
artificial intelligence; brain models; computer games; AI agent memory; biological systems; intelligent agent systems; serious games; Artificial intelligence; Biological system modeling; Biological systems; Computational intelligence; Computational modeling; Degradation; Humans; Information retrieval; Intelligent agent; Samarium; Degrading Memory; Intelligent Agents; Memory Simulation;
Conference_Titel :
Intelligent Systems (IS), 2010 5th IEEE International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-5163-0
Electronic_ISBN :
978-1-4244-5164-7
DOI :
10.1109/IS.2010.5548405