A Bayesian framework for active artificial perception
نویسندگان
چکیده
منابع مشابه
A Bayesian Hierarchical Framework for Multimodal Active Perception
We will present a Bayesian hierarchical framework for multimodal active perception, devised to be emergent, scalable and adaptive, together with some representative experimental results. This framework, while not strictly neuromimetic, finds its roots in the role of the dorsal perceptual pathway of the human brain. Its composing models build upon a common spatial configuration that is naturally...
متن کاملA hierarchical Bayesian framework for multimodal active perception
In this article, we present a hierarchical Bayesian framework for multimodal active perception, devised to be emergent, scalable and adaptive. This framework, while not strictly neuromimetic, finds its roots in the role of the dorsal perceptual pathway of the human brain. Its composing models build upon a common spatial configuration that is naturally fitting for the integration of readings fro...
متن کاملLearning emergent behaviours for a hierarchical Bayesian 3 framework for active robotic perception 4 João
8 Abstract In this research work, we contribute with a 9 behaviour learning process for a hierarchical Bayesian 10 framework for multimodal active perception, devised to be 11 emergent, scalable and adaptive. This framework is com12 posed by models built upon a common spatial configura13 tion for encoding perception and action that is naturally 14 fitting for the integration of readings from mu...
متن کاملA Framework for Testing Identifiability of Bayesian Models of Perception
Bayesian observer models are very effective in describing human performance in perceptual tasks, so much so that they are trusted to faithfully recover hidden mental representations of priors, likelihoods, or loss functions from the data. However, the intrinsic degeneracy of the Bayesian framework, as multiple combinations of elements can yield empirically indistinguishable results, prompts the...
متن کاملSensory Adaptation within a Bayesian Framework for Perception
We extend a previously developed Bayesian framework for perception to account for sensory adaptation. We first note that the perceptual effects of adaptation seems inconsistent with an adjustment of the internally represented prior distribution. Instead, we postulate that adaptation increases the signal-to-noise ratio of the measurements by adapting the operational range of the measurement stag...
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 Cybernetics
سال: 2013
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tsmcb.2012.2214477