Title :
Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory
Author :
Irvine, David ; Gongora, Mario
Author_Institution :
Inst. of Creative Technol., De Montfort Univ., Leicester, UK
Abstract :
We propose a hybrid method that combines novel aspects of adaptable agent methodologies (ReAd) and a novel biologically inspired memory model to create powerful intelligent agents. These methodologies are well suited to each other, and by combining them in a novel way we are able to form a cognitive artificial agent that is capable of realistically emulating learning intelligent behaviour in a virtual environment.
Keywords :
cognitive systems; finite state machines; learning (artificial intelligence); ReAd; adaptable agent methodology; biologically inspired memory model; cognitive artificial agent; finite state machines; hybrid adaptable structure; intelligent agent; learning intelligent behaviour; reactive-adaptive methodology; Artificial neural networks; Cognition; Fuzzy logic; Games; Humans; Intelligent agents; BDI; Degradation; FSM; Hybrid Systems; Intelligent Agents; Memory; ReAd;
Conference_Titel :
Hybrid Intelligent Models And Applications (HIMA), 2011 IEEE Workshop On
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9907-6
DOI :
10.1109/HIMA.2011.5953964
