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Description:
In this edition of QuEST, every January the QuEST group uses the first meeting of the calendar year to present a ‘state of QuEST’ lecture in honor of a founding member of the QuEST meetings, Dr. Matthew “Special K” Kabrisky. This lecture is designed to bring anyone up to speed on how we use terms and to communicate what we seek to accomplish.
Abstract:
Dr. Matthew Kabrisky was an Air Force pioneer and innovator. From Air Force aviator in the 1950s to professor, mentor, and researcher, his discoveries paved the way for many modern technological advancements. He developed theories of how the human brain processes information to recognize visual objects. This work directly led to the innovation of implanted electrodes for those afflicted with diseases such as epilepsy and injuries that resulted in paralysis. He was the leading international expert on the physiological symptoms of space adaptation sickness, i.e., motion sickness. His research led NASA to a better understanding and an approach to mitigate the effects of space environments on astronauts. His research in the area of robust speech recognition laid critical foundations for fostering the development of DoD and private industry products ranging from voice activated controls in advanced tactical aircrafts, to aides for the disabled and handicapped and industrial process control. In the 1990s, he helped lead a team of engineers that developed the world’s most accurate breast cancer detection system. This highly successful product has helped in the detection of thousands of breast cancers before they would have otherwise been detected. Dr. Kabrisky’s pioneering efforts paved the way for current innovations across the Air Force and the Nation.
QuEST is an analytical and software development approach to improve human-machine team decision quality over a wide range of stimuli, handling unexpected queries and contextual adaptation. QuEST is focused on creating computer-based decision aids and also decision engines that may be embedded in platforms interacting with the world. QuEST seeks to engineer solutions to provide the advantages commonly associated with intuitive reasoning, quick reflexive, and advantages often associated with “conscious” context sensitive thinking.
QuEST also seeks to provide 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 or different people (different training) or more / different computer aids are necessary to acceptably make a particular decision. Can a given situational complexity be represented acceptably by the representational capacity of the group of people and computer agents available.
For 2025 we also will continue to explore the idea that there is only one representation, how knowledge is structured and the processes that are used to create / maintain and access that knowledge. The idea of Sys1 and Sys2 are just a model of ways to think about different cognitive capabilities and challenges. We posit that these capabilities / challenges can be addressed using the same representation. Qualia provides insight into the process used by nature to create, maintain and exploit a vocabulary of cognition, the one representation. That representation can be used in multiple ways, using multiple processes that can be modeled as sys1 / sys2 cognition. By studying qualia, specifically the ‘what it is like’ to have a conscious experience we can get insight into the vocabulary of cognition, the representation, and thus gain insights applicable to the QuEST goal of creating modern decision aids.
Qualia can be studied by investigating the neuro basis, the behavioral/functional attributes and/or the phenomenology of the experience. QuEST has been focused on examining the phenomenology of the experience, qualia, and using that information to advance the S3Q Theory of Consciousness.
Key Moments and Questions in the video include:
About Dr. Matthew Kabrisky
The start of QuEST
What is the goal of the Kabrisky Lecture?
Consciosness
Qualia
What are Qualia?
Cartesian Theater
Phenomenal experience
Sensory world model
Discernable aspects
Qualia as a tin God
World model
Self
Sense making
populating
Qualia representation
No Qualia
Qualia related concepts
Account for experiences
Update world model
Do Qualia tell the whole story?
Blindsight
Prospagnosia
What is it like to be a bat?
Agent centric
Purpose of Qualia Cash Value of phenomenal experience
Creation and maintenance of world model
Knowledge
Meaning making
Show the flow for Blindsight patient in our Cash Value construct
Why QuEST - Qualia Exploitation of Sensing Technologuy
Intelligence and artificial intelligence
Where does knowledge come from? Key to intelligence/AI/Cognition
Evolution
Experiences
Culture
Intelligent - Machine Generated
Human-Machine & Machine-Machine Culture
S3Q Theory of Qualia
Structural Coherence
Situation
Simulation
Qualia
Q: Bottleneck of representation requires simplified world model
Agent centric semantic - reliable predictability
Chomsky and Newell
Learning is creation of new Qs or new relationships between existing Qs
Situated: Rainman “Link” Game
Kim Peek
Qualia as a simulation: virtual world metaphor
Blind spot - fact we don’t see it as example of coherence/simulation
Structural coherence
Principle of structural coherence
Where are We in AI
1st wave of AI: Describe
2nd wave of AI: Classify
3rd wave of AI: TBD
What is missing in current AI? Machine that create
Define interesting
Qualia based representation
Synthesis and abstraction-Chollet-how does QuEST impact two key aspects?
Responsible use of AI-working approach ACT3
AI ethics
Moral concerns
QuEST coming events
Mathematics of QuEST
Engineering of QuEST
Neurophysiology of QuEST
Types of Qualia
Questions
| Date Taken: | 01.10.2025 |
| Date Posted: | 01.29.2025 16:59 |
| Category: | Video Productions |
| Video ID: | 950642 |
| VIRIN: | 250110-F-BA826-4957 |
| Filename: | DOD_110786003 |
| Length: | 01:01:58 |
| Location: | US |
| Downloads: | 4 |
| High-Res. Downloads: | 4 |
This work, Kabrisky Memorial Lecture 2025, by Kevin D Schmidt, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
