Home > Meeting Topics and Material, News Stories > Weekly QUEST Discussion Topics and News, 24 Jan

Weekly QUEST Discussion Topics and News, 24 Jan

As always we welcome any discussions people desire to engage in – for example there have been several email trails associated with our what is QuEST document:
Jargon based answer:
QuEST (what was the acronym?) QUalia Exploitation of Sensing Technology – QuEST – a cognitive exoskeleton

• QuEST defines and engineers a new set of processes that will be implemented in a computer agent (or set of computer agents) to improve decision quality of a human agent (or set of human agents)

• Assumption 1: decision quality is dominated by the appropriate level of situational awareness (The perception of environmental elements with respect to time and/or space and/or logical connection, the comprehension of their meaning, and the projection of their status after some variable has changed, such as time.)

• QuEST could be considered a new approach to situational assessment (processes that are used to achieve situational awareness), situation understanding (comprehension of the meaning of the information as integrated with each other and in terms of the individual’s goals. It is the “so what” of the data), or sensemaking (a motivated, continuous effort to understand connections which can be among people, places, and events in order to anticipate their trajectories and act effectively” Klein et al., 2006, p. 71) for decision quality

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

– The artificially conscious processes all are constrained by the fundamental laws of the QUEST Theory of Consciousness (structural coherence, situation based, simulation / cognitively decoupled)
– The subconscious/intuition processes do not use working memory and 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 machine learning from an empirical effort to a scientific effort

Street speak answer:

• QuEST improves decision quality by providing decision makers computer based decision aids that are engineered with both intuition and the ability to do deliberative thinking

• QuEST seeks a mathematical framework to understand what can be known by a person or group of people and their computer based decision aids about situations so we can predict when more people (or differently trained people) or more information are necessary to make a particular decision.



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