Chaotic Neurodynamics for Autonomous Agents
نویسندگان
چکیده
منابع مشابه
Chaotic property for non-autonomous iterated function system
In this paper, the new concept of non-autonomous iterated function system is introduced and also shown that non-autonomous iterated function system IFS(f_(1,∞)^0,f_(1,∞)^1) is topologically transitive for the metric space of X whenever the system has average shadowing property and its minimal points on X are dense. Moreover, such a system is topologically transitive, whenever, there is a point ...
متن کاملAttractor switching by neural control of chaotic neurodynamics.
Chaotic attractors of discrete-time neural networks include infinitely many unstable periodic orbits, which can be stabilized by small parameter changes in a feedback control. Here we explore the control of unstable periodic orbits in a chaotic neural network with only two neurons. Analytically, a local control algorithm is derived on the basis of least squares minimization of the future deviat...
متن کاملChaotic itinerancy and its roles in cognitive neurodynamics.
Chaotic itinerancy is an autonomously excited trajectory through high-dimensional state space of cortical neural activity that causes the appearance of a temporal sequence of quasi-attractors. A quasi-attractor is a local region of weakly convergent flows that represent ordered activity, yet connected to divergent flows representing disordered, chaotic activity between the regions. In a cogniti...
متن کاملResilience for Autonomous Agents
In this paper we show how the resilience approach can give a generic solution to the problems of looping and high-bandwidth output in autonomous agents. A resilient approach to looping is for the agent to delay responding again to a source that has recently triggered a task. A resilient approach to high-bandwith output is for the agent to delay output when the overall “noise” level in the envir...
متن کاملChaotic Autonomous Mobile Robot for Military Missions
This work presents an autonomous mobile robot in order to cover an unknown terrain “randomly”, namely entirely, unpredictably and evenly. This aim is very important, especially in military missions, such as the surveillance of terrains, the terrain exploration for explosives and the patrolling for intrusion in military facilities. The “heart” of the proposed robot is a chaotic motion controller...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 2005
ISSN: 1045-9227
DOI: 10.1109/tnn.2005.845086