DocumentCode :
2325824
Title :
Fuzzy quantum circuits to model emotional behaviors of humanoid robots
Author :
Raghuvanshi, Arushi ; Perkowski, Marek
Author_Institution :
Jesuit High Sch., Portland, OR, USA
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, we propose the concepts that apply quantum circuits to model Fuzzy Sets, thereby creating a new method to model behaviors for a humanoid robot. It is similar to the standard fuzzy sets from two points of view -1) of measured probabilities of state |1〉, and 2) that of the normalized measurement in a quantum ensemble computer. However, one can also look at the internal quantum states created by the operators of the new model. This extends fuzzy sets from [0, 1] interval to some other domain, similar to complex fuzzy logic, but also brings superposed, entangled and parallel quantum behaviors. The standard fuzzy logic aspect (external) of the new model maps the numbers in interval [0,1] to points on one meridian of the Bloch Sphere and after measurement, the results map back to numbers from interval [0,1]. However, the other, more important, aspect of this model (internal) is the operation on arbitrary quantum states, and the realization of additional states via phase measurements. We discuss and illustrate how this model can be used to represent a hidden state of reasoning agents or an emotional state of a humanoid robot.
Keywords :
emotion recognition; fuzzy logic; fuzzy set theory; humanoid robots; Bloch sphere; emotional behaviors; fuzzy logic; fuzzy quantum circuits; fuzzy sets; humanoid robots; probabilities of state; Cognition; Fuzzy logic; Fuzzy sets; Integrated circuit modeling; Logic gates; Robots; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5586038
Filename :
5586038
Link To Document :
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