Skip to main content (Press Enter).
U.S. Air Force Logo
News
Photos
Week in Photos
Air Force TV
Commentaries
Features
Art
About Us
DAF Executive Order Implementation
Air Force Senior Leaders
SECAF
CSAF
CMSAF
Biographies
Fact Sheets
50 Years of the CMSAF
Adjunct Professors
Air Force Strategic Documents
Arctic Strategy
Empowered Airmen
Careers
AF Federal Advisory Committees
AF 75th Anniversary
Policy Updates
AF Content Management
Contact Us
AF Sites
Site Registration
Events 2025
COVID Reinstatement
DLE
DAF Entertainment Liaison Office
Secretariat of the Air Force
DAF Chief Information Officer (SAF/CN)
International-Affairs (SAF/IA)
Energy Installations Environment (SAF/IE)
Financial Management (SAF/FM)
Air Force
Freedom 250
Policy Updates
Newsroom
BIOGRAPHIES
AF Senior Leaders
Playlist:
Search Results
FEATURED VIDEOS
Video by Kevin D Schmidt
Player Embed Code:
Share
Embed
Download
QuEST (2024-06-07) Benjamin Kuipers - Drinking From the Firehose of Experience
Air Force Research Laboratory
May 12, 2025 | 01:16:50
Consciousness is an important but mysterious aspect of human intelligence. As AI researchers work toward building computational intelligent systems, what role should consciousness play in such systems?
Most of this talk describes steps toward a cognitive architecture to explain the benefits of consciousness to an intelligent agent, specifically in helping it cope with the overwhelming information content of its sensorimotor interaction with the physical world. First, a relatively small number of dynamic trackers provide continuous access to changing entities within the sensory field, simultaneously providing concise descriptions for symbolic reasoning and access to rich sensory input about those entities in the world. Second, a coherent sequential narrative is constructed, about 300-500 milliseconds after the fact, attempting to explain experienced events in terms of interactions among the tracked entities. The trackers and the narrative together provide a concise summary of the overwhelming complexity of sensorimotor interaction, with which the agent can reason and plan.
This cognitive architecture proposal addresses what is sometimes called the “Easy Problem” of consciousness. The “Hard Problem” is: “Why does consciousness feel like anything at all?” I offer some observations on perceptual vividness, and a few other philosophical matters related to consciousness.
Many of these ideas are introduced in “Drinking From the Firehose of Experience”
Key Moments and Questions in the video include:
What is the mind?
Consciousness is a Phenomenon in the World
The problems of Consciousness
AI and Robotics Provide Insights
What is a Robot?
Drinking from the Firehose of Experience
Trackers in the Sensor Stream
A simple Object Tracker
Fictional Tracker Illustration
A tracker is an index into the firehose of experience
Tackers: their importance is not a new idea
Making Sense of Experience
The Constructivist Agent
Intentionality
The problems of Consciousness
The Easy Problem
The Function of Consciousness
The Hard problem
Sneaking up on the Hard Problem
Vivid Qualia have Lots of Bits
Does information transfer feel like anything at all?
Can a Machine be Conscious
Pushing the Boundaries
Features of Consciousness
Conclusions
Open discussion
More
Tags
quest
AFRL
Artificial Intelligence
ACT3
consciosness
More
Up Next
59:41
QuEST (2025-08-08) Intern “Rising Talent” Outbrief Presentations
01:02:17
QuEST (2024-06-14) Mary Kinsella - Career momentum for Engineers and Scientists
52:17
QuEST (2024-06-28) James Hubbard/Zhao (Joy) Sun - The Music of the Mind
01:00:52
QuEST (2023-01-27) Gina Adam - Drawing inspiration from the hippocampus to design neuromorphic computing
Now Playing
QuEST (2024-06-07) Benjamin Kuipers - Drinking From the Firehose of Experience
59:36
QuEST (2022-02-23) Nelson Dellis - Memory Conversation Part 5
01:22:25
QuEST (2022-02-09) Nelson Dellis - Memory Conversation Part 4
01:00:47
Nelson Dellis - Memory Conversation Part 3
01:09:55
QuEST (2022-01-05) Nelson Dellis - Memory Conversation Part 2
58:48
Nelson Dellis - Memory Conversation
01:00:41
QuEST (2024-05-24 Joseph Houpt - Mathematical Psychology
01:10:36
Lila Davachi - Temporal Integration and Separation of Sequential Events in Memory
59:49
Chris Baldassano - Studying memory in the brain with the Method of Loci
01:00:12
Anna Schapiro - Learning representations of specifics and generalities over time
01:23:26
Nikolaus Kriegeskorte - Comparing models by their predictions of representational geometries and topologies
More Videos