Paper Title:
The ERM-Based Self-Adaptive Agent Model
  Abstract

Inspired by the mechanism of behaviour control of organisms, this paper attempts to build an underlying model of their physical and psychological activities in a dynamic environment with the purpose to achieve the self-adaption of robot behaviour in a complex, changeable environment. It designs an internal environment and emotion- & motive-generating models based upon the endocrine regulation mechanism (ERM). The robot relies upon the dynamic stability of the internal environment to accomplish its self-adaption to the external environment. The emotion-generating model is applied to in vivo and in vitro contingencies of various kinds; by releasing hormones, the emotion generated influences the robot’s in vivo and in vitro perception, and then its behavioural choice. The motive-generating model is employed to maintain the relative stability of the internal environment, and the motive generated leads to the corresponding behavioural choice directly. The experimental results prove the effectiveness of this ERM-based self-adaptive robot model.

  Info
Periodical
Advanced Materials Research (Volumes 341-342)
Edited by
Liu Guiping
Pages
494-498
DOI
10.4028/www.scientific.net/AMR.341-342.494
Citation
G. R. Huang, F. Liu, X. Cheng, C. F. Qiu, "The ERM-Based Self-Adaptive Agent Model", Advanced Materials Research, Vols. 341-342, pp. 494-498, 2012
Online since
September 2011
Export
Price
$35.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Guo Feng Zhang, Niu Wang
Chapter 9: Others
Abstract:The traditional Behavior Selection Mechanism (BSM) has two problems: it can’t be achieved autonomously under uncertainty conditions; its...
559
Authors: Xue Fei Shi, Tao Feng
Chapter 4: Artificial Intelligence, Data Mining and Data Processing
Abstract:Nowadays the functional role of emotions has been recently fully recognized as essential for intelligent systems. In this paper an emotion...
439
Authors: Yong De Zhang, Shu Tong Li, Jin Gang Jiang, Tian Hua He
Chapter 4: Industrial Robotics, Mechatronics and Control
Abstract:In order to improve the personification of human-robot emotion interaction, this paper based on the Euclidean space emotion model and Ekman...
1278