A model of conscious mechanisms called Axiomatic Consciousness Theory (ACT) is used to develop a theoretical computational model of visual phenomenology . The result is an extension of concepts in AI towards phenomenal intentionality: the lack of which is a common starting point for critiques of AI . Here the argument is developed at four interacting grain levels of computational description an...

Electronic health records (EHRs) contain a wealth of information about patients. In addition to providing efficient and accurate records for individual patients, large databases of EHRs contain valuable information about overall patient populations. While statistical insights describing an overall population are beneficial, they are often not specific enough to use as the basis for individualiz...

One common characteristic of all intelligent life is continuous perceptual input. A decade ago, simply recording and storing a a few minutes of full frame-rate NTSC video required special hardware. Today, an inexpensive personal computer can process video in real-time tracking and recording information about multiple objects for extended periods of time, which fundamentally enables this researc...

Perception operates on an immense amount of incoming information that greatly exceeds the brain's processing capacity. Because of this fundamental limitation, the ability to suppress irrelevant information is a key determinant of perceptual efficiency. Here, I will review a series of studies investigating suppressive mechanisms in visual motion processing, namely perceptual suppression of large...

Stories help us communicate knowledge, share and interpret experiences. In this paper we discuss the use of storytelling in Business Intelligence (BI) analysis. We derive the actual practices in creating and sharing BI stories from in-depth interviews with expert BI analysts (both story “creators” and “readers”). These interviews revealed the need to extend current BI visual analysis applicatio...

The stimulus display duration required for subjects to accurately compare the length of two line lengths (known as Inspection Time: IT), reliably correlates around 0.5 with general intelligence. It is not clear, however, if this correlation reflects general “speed of processing”, or some other element of the task. There is a consequent need for new experimental paradigms. We describe a novel IT...

Intelligence is a multifaceted phenomenon which makes trying to capture its very essence a slippery task. In this paper, we commit to a hybrid notion of intelligence, conceived as the combination of cognitive operations and knowledge resources that leads to purposeful behavior. Accordingly, this paper describes an artificial system that benefits from both mechanism–centered and knowledge–center...

Recently, deep learning has been advancing the state of the art in artificial intelligence to a new level, and humans rely on artificial intelligence techniques more than ever. However, even with such unprecedented advancements, the lack of explanation regarding the decisions made by deep learning models and absence of control over their internal processes act as major drawbacks in critical dec...

Grab bars are often prescribed to ensure safe and independent bathing and toileting. Studies have shown that seniors do not always use grab bars when they are present or are reluctant to install them due to the associated stigma. This study sought to determine if artificial intelligence could increase grab bar use by seniors and to determine the efficacy of different cues (auditory, visual, and...