DocumentCode :
2726980
Title :
Autobiographic agents in dynamic virtual environments - performance comparison for different memory control architectures
Author :
HO, Wan Ching ; Dautenhahn, Kerstin ; Nehaniv, Chrystopher L.
Author_Institution :
Adaptive Syst. Res. Group, Hertfordshire Univ., Hatfield
Volume :
1
fYear :
2005
fDate :
5-5 Sept. 2005
Firstpage :
573
Abstract :
In this paper, we extend our previous work in investigating the performance of different autobiographic memory control architectures which are developed based on a basic subsumption control architecture for artificial life autonomous agents surviving in a dynamic virtual environment. In our previous work we showed how autonomous agents´ survival in a static virtual environment can benefit from autobiographic memory, with a kind of communication of experiences in multi-agent experiments. In the current work we extend the existing memory architecture by enhancing its functionalities and introducing long-term autobiographic memory, which is derived from the inspiration of human memory schema - categorical rules or scripts that psychologists in human memory research believe all humans possess to interpret the word, A large-scale and dynamic virtual environment is created to compare the performance of various types of agents with various memory control architectures, and each agent´s behaviour is observed and analyzed together with lifespan measurements. Results confirm our previous research hypothesis that autobiographic memory can prove beneficial - indicating increases in the lifespan of an autonomous, autobiographic, minimal agent. Furthermore, the utility of combining long-term memory with short-term memory is established. We finally discuss the environmental factors influencing the performance of each architecture and the areas for future work
Keywords :
artificial life; memory architecture; software agents; artificial life autonomous agents; autobiographic memory control architectures; autonomous autobiographic minimal agent; dynamic virtual environments; long-term memory; short-term memory; subsumption control architecture; Autonomous agents; Communication system control; Current measurement; Environmental factors; Humans; Large-scale systems; Memory architecture; Performance analysis; Psychology; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
Type :
conf
DOI :
10.1109/CEC.2005.1554734
Filename :
1554734
Link To Document :
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