Home > Uncategorized > Weekly QuEST Discussion Topics and News, 15 Jan

Weekly QuEST Discussion Topics and News, 15 Jan

QuEST 15 Jan 2016:

We will continue this week with the material from the Kabrisky Memorial Lecture for 2016: ‘What is QuEST?’  As all QuEST meetings this will be an interactive discussion of the material so anyone who has never been exposed to our effort can catch up and those who have been involved can refine their personal views on what we seek – last week we got to the dual process model part of the discussion – we will pick up there – there was also some new discussion on the theoretical framework (math) so we’ve inserted a new slide there and our colleague Robert P also gave us some new summary slides on intuitive cognition that we’ve inserted – the new slides will be posted for those inside the fence – for those outside the fence please let us know if you want the slides.

QuEST – Qualia Exploitation of Sensing Technology – a Cognitive exoskeleton



– QuEST is an innovative analytical and software development approach to improve human-machine team decision quality over a wide range of stimuli (handling unexpected queries) by providing computer-based decision aids that are engineered to provide both intuitive reasoning and “conscious” deliberative thinking.


– QuEST provides a mathematical framework to understand what can be known by a group of people and their computer-based decision aids about situations to facilitate prediction of when more people (different training) or computer aids are necessary to make a particular decision.





– QuEST defines a new set of processes that will be implemented in computer agents.


– Decision quality is dominated by the appropriate level of situation awareness.  Situation awareness is the perception of environmental elements with respect to time/space, logical connection, comprehension of their meaning, and the projection of their future status.


– QuEST is an approach to situation assessment (processes that are used to achieve situation awareness) and situation understanding (comprehension of the meaning of the information) integrated with each other and the decision maker’s goals.


– QuEST solutions help humans understand the “so what” of the data {sensemaking ~ “a motivated, continuous effort to understand connections (among people, places and events) in order to anticipate their trajectories and act effectively” for decision quality performance}.1


– QuEST agents implement blended dual process cognitive models (have both artificial conscious and artificial subconscious/intuition processes) for situation assessment.


— Artificial conscious processes implement in working memory the QuEST Theory of Consciousness (structural coherence, situation based, simulation/cognitively decoupled).


— Subconscious/intuition processes do not use working memory and are thus considered autonomous (do not require consciousness to act) – current approaches to data driven, artificial intelligence provide a wide range of options for implementing instantiations of capturing experiential knowledge used by these processes.


– QuEST is developing a ‘Theory of Knowledge’ to provide the theoretical foundations to understand what an agent or group of agents can know, which fundamentally changes human-computer decision making from an empirical effort to a scientific effort.


1 Klein, G., Moon, B. and Hoffman, R.R., “Making Sense of Sensemaking I: Alternative Perspectives,” IEEE Intelligent Systems, 21(4), Jul/Aug 2006, pp. 70-73.


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