DocumentCode
1678118
Title
The limbic action-perception cycle controlling goal-directed animal behavior
Author
Freeman, Walter J.
Author_Institution
Dept. of Molecular & Cell Biol., California Univ., Berkeley, CA, USA
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2249
Lastpage
2254
Abstract
Intelligent behavior is characterized by flexible and creative pursuit of endogenously defined goals. It has emerged in humans through the stages of evolution that are manifested in the brains and behaviors of the vertebrate series. Intentionality is a key concept by which to link brain dynamics to goal-directed behavior, and to provide for intelligent adaptations by machines. An archetypal form of intentional behavior is an act of observation into time and space, by which information is sought for the guidance of future action. Evidence points to the limbic system as the key organizing structure in producing such neural activity. The implementation of actions by the mesoscopic dynamics of the forebrain takes the form of hypothesis testing, in which essential information is sought by manipulation of the senses, and the synaptic connectivity of the brain is modified in respect to the consequences of actions taken. A description will be undertaken of software and hardware systems using coupled nonlinear differential equations with chaotic attractor landscapes, by means of which these functions can be built into free-roving machines operating in complex, rapidly changing and not fully predictable environments
Keywords
behavioural sciences; chaos; cognitive systems; neurophysiology; nonlinear differential equations; brain dynamics; chaotic attractor landscapes; coupled nonlinear differential equations; endogenously defined goals; evolution; forebrain; free-roving machines; goal-directed animal behavior; hypothesis testing; intelligent behavior; intentionality; limbic action-perception cycle; mesoscopic dynamics; synaptic connectivity; Animals; Couplings; Hardware; Humans; Machine intelligence; Manipulator dynamics; Nonlinear dynamical systems; Organizing; Software systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007491
Filename
1007491
Link To Document