… Hierarchical state abstraction allows a previously-learned model to be efficiently adapted
for use in a new task, while context switching allows learned models to be saved and recalled …

… that adaptive software must monitor contexts and switch its … switching actions? The goal of
our work is to investigate necessary and sufficient conditions for both monitoring and switching …

… An adaptation of our approach will be needed to deal with other aspects of context such
as … to project adaptive context into problem diagrams. For software systems where context…

This work evaluates the capability of a spiking cerebellar model embedded in different loop
architectures (recurrent, forward, and forward&recurrent) to control a robotic arm (three …

… ) with automatic fuzzy context modelling is … context of the coding pixel, the SWAP encoder
switches between two predictors: the adaptive neural predictor (ANP) and the texture context …

… switching between multiple configurations still elusive. Here, we propose a ferroelectric
field-effect transistor (FeFET)–based context-switching … in CB/switch box power consumption with …

… An experimental context-switching FPGA, … context-switching applications. This paper
presents results obtained from constructing both control-driven and data-driven context switching …

… the effects due to both voluntary context switches (e.& system calls) and involuntary context
switches (e+, time quantum expiration). Involuntary context switches are modeled using the …

… So according to Wheeler the contextually triggered activity of such a ‘special-purpose
adaptive coupling’ (SPAC) is what underlies our appropriate responsiveness to a given context. …

… criterion J), the system switches to it and switches back to the adaptive model as described
earlier. However, faster tracking can be obtained if a new adaptive model is initialized at the …