Fundamentals of motor behavior
Visual cognition and action (vol.2)
Computational and dynamical languages for autonomous agents
Mind as motion
Forward models for physiological motor control
Neural Networks - 1996 Special issue: four major hypotheses in neuroscience
Adaptive Behavior
Key concepts in model selection: performance and generalizability
Journal of Mathematical Psychology
IEEE Software
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Online Event Segmentation in Active Perception using Adaptive Strong Anticipation
Proceedings of the 2010 conference on Biologically Inspired Cognitive Architectures 2010: Proceedings of the First Annual Meeting of the BICA Society
| Hi-index | 0.00 |
We examine Dubois's [Dubois, D., 2003. Mathematical foundations of discrete and functional systems with strong and weak anticipations. Lecture Notes in Computer Science 2684, 110-132.] distinction between weak anticipation and strong anticipation. Anticipation is weak if it arises from a model of the system via internal simulations. Anticipation is strong if it arises from the system itself via lawful regularities embedded in the system's ordinary mode of functioning. The assumption of weak anticipation dominates cognitive science and neuroscience and in particular the study of perception and action. The assumption of strong anticipation, however, seems to be required by anticipation's ubiquity. It is, for example, characteristic of homeostatic processes at the level of the organism, organs, and cells. We develop the formal distinction between strong and weak anticipation by elaboration of anticipating synchronization, a phenomenon arising from time delays in appropriately coupled dynamical systems. The elaboration is conducted in respect to (a) strictly physical systems, (b) the defining features of circadian rhythms, often viewed as paradigmatic of biological behavior based in internal models, (c) Pavlovian learning, and (d) forward models in motor control. We identify the common thread of strongly anticipatory systems and argue for its significance in furthering understanding of notions such as ''internal'', ''model'' and ''prediction''.