Autors: LUACES,M.M., ROCHA,C.G., SIERRA,J.P., PATON,A.R.
Title: Self-consciousness for artificial entities using Modular Neural Networks
Keywords: self-consciousness, self-representation, modular neural netw

Abstract: One of the most puzzling cognitive features is self-consciousness.It implies not only self or group recognition, but also real knowledge of one’s own identity.In this paper,a cognitive architecture of self-consciousness for autonomous artificial entities (holons) is proposed.This cognitive architecture includes:abstraction,self-representation,other individuals' representation, and action modules.It also includes a learning process of self-representation by direct and observational learning.For model implementation a new approach is taken using Modular Artificial Neural Networks (MANN) due to their biological inspiration,modularity and adaptability.We explain the cognitive architecture that enables dynamic self-representation.For model testing a multi-holon virtual environment was implemented.We analyse the effect of holon interaction, focusing on the evolution of the holon’s abstract selfrepresentation.Finally, the results are explained and analysed and conclusions drawn.

References

    Issue

    9th WSEAS International Conference on NEURAL NETWORKS (NN’08), pp. 113-118, 2008, Bulgaria,

    Вид: публикация в национален форум