An active workspace where candidate frames compete and selected content can be broadcast under policy.
13 · Cognition & Control
AGOW
in GenOS.
An active workspace where candidate frames compete and selected content can be broadcast under policy.
DEFINITION AND SCIENCE
What it means
in GenOS.
AGOW is a software workspace in which candidate representations may be evaluated and selected under explicit policy. Neuronal threshold models provide historical context for formal abstractions, not evidence that AGOW reproduces brain-wide cognition.
Neural workspace theories study competition and broadcast among representations. AGOW borrows selection and broadcast as software design ideas, without a claim about consciousness.
An active workspace where candidate frames compete and selected content can be broadcast under policy.
For candidate c, selection can be expressed as argmax_c U(c) subject to admissibility constraints A(c)=true and resource budget B(c)≤B_max. The objective and gates are policy inputs, not universal laws.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: AGOW
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Admit candidate framesINPUT
02Compete for attentionMECHANISM
03Broadcast selected contentCONDITIONAL OUTCOME
Current transition · Step 1Admit candidate frames
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
PROCESS AND USE
How it works
at a glance.
Admit candidate frames
An active workspace where candidate frames compete and selected content can be broadcast under policy.
Compete for attention
For candidate c, selection can be expressed as argmax_c U(c) subject to admissibility constraints A(c)=true and resource budget B(c)≤B_max. The objective and gates are policy inputs, not universal laws.
Broadcast selected content
Broadcast selected content. AGOW is a software workspace in which candidate representations may be evaluated and selected under explicit policy. Neuronal threshold models provide historical context for formal abstractions, not evidence that AGOW reproduces brain-wide cognition.
RUNTIME IMPLEMENTATION
What is connected,
and how far.
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.
AGOW has persisted workspace, arbitration, query and broadcast paths. The current AGOW suite, including production-wiring checks, passed; this does not establish cognitive or consciousness equivalence.
A threshold can suppress low-salience but critical evidence. · Correlated salience signals can reinforce a shared blind spot. · Broadcast is not proof or a claim of consciousness.
PRIMARY RESEARCH · MECHANISM LEVEL
The mechanism
behind the analogy.
A logical calculus of the ideas immanent in nervous activity
Warren S. McCulloch and Walter Pitts · Bulletin of Mathematical Biophysics 5, 115–133
Formalizes idealized all-or-none units as logical networks; the abstraction is not a full biological neuron model.
Open publication ↗Primary research describes the cited mechanism; specific technologies may instead cite their original technical documentation. These sources provide context and do not validate the GenOS implementation.
EVIDENCE AND LIMITS
Scope and validation boundaries
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.