TY - GEN
T1 - Artificial homeostatic system
T2 - 8th European Conference on Advances in Artificial Life, ECAL 2005
AU - Vargas, Patrícia
AU - Moioli, Renan
AU - De Castro, Leandro N.
AU - Timmis, Jon
AU - Neal, Mark
AU - Von Zuben, Fernando J.
PY - 2005
Y1 - 2005
N2 - Many researchers are developing frameworks inspired by natural, especially biological, systems to solve complex real-world problems. This work extends previous work in the field of biologically inspired computing, proposing an artificial endocrine system for autonomous robot navigation. Having intrinsic self-organizing behaviour, the novel artificial endocrine system can be applied to a wide range of problems, particularly those that involve decision making under changing environmental conditions, such as autonomous robot navigation. This work draws on "embodied cognitive science", including the study of intelligence, adaptivity, homeostasis, and the dynamic aspects of cognition, in order to help lay down fundamental principles and techniques for a novel approach to more biologically plausible artificial homeostatic systems. Results from using the artificial endocrine system to control a simulated robot are presented.
AB - Many researchers are developing frameworks inspired by natural, especially biological, systems to solve complex real-world problems. This work extends previous work in the field of biologically inspired computing, proposing an artificial endocrine system for autonomous robot navigation. Having intrinsic self-organizing behaviour, the novel artificial endocrine system can be applied to a wide range of problems, particularly those that involve decision making under changing environmental conditions, such as autonomous robot navigation. This work draws on "embodied cognitive science", including the study of intelligence, adaptivity, homeostasis, and the dynamic aspects of cognition, in order to help lay down fundamental principles and techniques for a novel approach to more biologically plausible artificial homeostatic systems. Results from using the artificial endocrine system to control a simulated robot are presented.
UR - http://www.scopus.com/inward/record.url?scp=33646003219&partnerID=8YFLogxK
U2 - 10.1007/11553090_76
DO - 10.1007/11553090_76
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:33646003219
SN - 3540288481
SN - 9783540288480
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 754
EP - 764
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 5 September 2005 through 9 September 2005
ER -