Anytime Bounded Rationality

3 years 6 days ago
Anytime Bounded Rationality
Dependable cyber-physical systems strive to deliver anticipative, multi-objective performance anytime, facing deluges of inputs with varying and limited resources. This is even more challenging for life-long learning rational agents as they also have to contend with the varying and growing know-how accumulated from experience. These issues are of crucial practical value, yet have been only marginally and unsatisfactorily addressed in AGI research. We present a value-driven computational model of anytime bounded rationality robust to variations of both resources and knowledge. It leverages continually learned knowledge to anticipate, revise and maintain concurrent courses of action spanning over arbitrary time scales for execution anytime necessary.
Eric Nivel, Kristinn R. Thórisson, Bas R. S
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where AGI
Authors Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Jürgen Schmidhuber
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