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Weekly QuEST Discussion Topics and News, 9 Jan

QUalia Exploitation of Sensing Technology (QuEST) – Cognitive Exoskeleton for Flexible Autonomy 

PURPOSE

– QuEST is an innovative approach to autonomy that improves decision quality over a wide range of stimuli (unexpected queries) by providing computer-based decision aids that are engineered with both intuition and the ability to do deliberative (artificial conscious) 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.

DISCUSSION

– 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 defined as “a motivated, continuous effort to understand connections (which can be among people, places and events) in order to anticipate their trajectories and act effectively” for decision quality}.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.

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