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In physiology, motor coordination is the orchestrated movement of multiple body parts as required to accomplish intended actions, like walking. This coordination is achieved by adjusting kinematic and kinetic parameters associated with each body part involved in the intended movement.
In mathematics, a transition function may refer to: a transition map between two charts of an atlas of a manifold or other topological space; the function that defines the transitions of a transition system in computing, which may refer more specifically to a Turing machine, finite-state machine, or; cellular automaton
Acrobatics (from Ancient Greek ἀκροβατέω (akrobatéō) 'walk on tiptoe, strut') [1] is the performance of human feats of balance, agility, and motor coordination. Acrobatic skills are used in performing arts , sporting events, and martial arts .
In some cases the coordination of motor components is hard-wired, consisting of fixed neuromuscular pathways that are called reflexes. Reflexes are typically characterized as automatic and fixed motor responses, and they occur on a much faster time scale than what is possible for reactions that depend on perceptual processing. [ 27 ]
A motor skill is a function that involves specific movements of the body's muscles to perform a certain task. These tasks could include walking, running, or riding a bike. In order to perform this skill, the body's nervous system, muscles, and brain have to all work together.
In physics, the terms order and disorder designate the presence or absence of some symmetry or correlation in a many-particle system. [citation needed]In condensed matter physics, systems typically are ordered at low temperatures; upon heating, they undergo one or several phase transitions into less ordered states.
Stigmergy (/ ˈ s t ɪ ɡ m ər dʒ i / STIG-mər-jee) is a mechanism of indirect coordination, through the environment, between agents or actions. [1] The principle is that the trace left in the environment by an individual action stimulates the performance of a succeeding action by the same or different agent. Agents that respond to traces in ...
Given a time series of data x t, the STAR model is a tool for understanding and, perhaps, predicting future values in this series, assuming that the behaviour of the series changes depending on the value of the transition variable. The transition might depend on the past values of the x series (similar to the SETAR models), or exogenous variables.