Distributed Cognitive Network

Volume V

DCN Runtime Specification 0.1

Part 3C

Concurrency, Transactions, Checkpointing, Fault Tolerance, Synchronization, and Runtime Security

157. Purpose

This section defines the runtime semantics that allow a Mind to remain consistent while multiple cognitive processes execute simultaneously.

Unlike traditional AI systems, a Mind is expected to:

think continuously,
execute multiple Agencies,
synchronize with other Minds,
survive interruptions,
learn while running,
preserve cognitive consistency.

158. Runtime Philosophy

The runtime SHALL behave like an operating system.

It is responsible for:

concurrency;
isolation;
scheduling;
recovery;
consistency.

Reasoning alone is insufficient.

159. Cognitive Processes

Every running activity is represented as a Cognitive Process.

Examples:

Conversation

Planning

Research

Compilation

Evaluation

Synchronization

Background learning

Artifact optimization

Processes are schedulable runtime objects.

160. Process Model

Every Cognitive Process has:

ProcessID

Goal

Priority

Agency

Working memory

Current checkpoint

Pending patches

Lifecycle

Resource budget

Processes are independent but cooperate through the shared world model.

161. Process Lifecycle

Created
   ↓
Scheduled
   ↓
Running
   ↓
Waiting
   ↓
Resumed
   ↓
Completed

Terminal states:

Cancelled

Failed

Expired

Merged

162. Process Isolation

Each process owns:

its working memory,
temporary variables,
intermediate reasoning,
local expert bindings.

Processes SHALL NOT directly modify another process's internal state.

Communication occurs through:

events;
patch proposals;
world-state observations.

163. Shared World State

All processes observe the same logical world.

However they execute against snapshots.

Snapshot S
     │
     ▼
Process A

Snapshot S
     │
     ▼
Process B

Both may produce valid patches.

The Kernel resolves consistency.

164. Snapshot Semantics

A snapshot contains:

world-state commitment

goal graph

authority context

active K-lines

active artifacts

configuration

Snapshots are immutable.

165. Optimistic Concurrency

DCN Runtime uses optimistic execution.

Processes assume:

"The world probably won't change in conflicting ways."

Before commitment:

Patch
     ↓
Validate
     ↓
Still valid?
     /      \
   Yes       No
    │         │
 Commit    Replan

166. Patch Transactions

Patch commitment is transactional.

Either:

all operations commit

none commit

Partial semantic updates are prohibited.

167. Patch Batches

Multiple related patches MAY be grouped into one transaction.

Example:

Create Goal

Create Task

Assign Expert

Schedule Review

All succeed together.

168. Transaction Context

Every transaction SHALL include:

Base snapshot

Patch list

Dependencies

Authority

Expected effects

169. Conflict Detection

Conflicts occur when:

assumptions changed;
dependencies disappeared;
authority changed;
goals changed;
another patch committed first.

Conflict is semantic.

Not merely structural.

170. Conflict Resolution

Recommended strategies:

automatic merge

priority

new planning

human

System 2

policy

Conflict resolution is itself cognition.

171. Event Bus

The runtime contains a canonical event bus.

All significant events pass through it.

Examples:

ObservationReceived

PatchCommitted

AuthorityGranted

GoalCompleted

ExpertFailed

ArtifactUpdated

NetworkDisconnected

172. Event Ordering

Events possess:

logical order

wall-clock time

causal parents

Ordering supports deterministic replay.

173. Deterministic Replay

The runtime SHOULD be replayable.

Inputs:

observations

events

patches

authority

random seeds

Replay reconstructs cognitive history.

174. Checkpoints

Long-running processes SHOULD periodically checkpoint.

Checkpoint contains:

working memory

pending patches

expert bindings

scheduler state

resource usage

Checkpoint frequency is policy-driven.

175. Recovery

After interruption:

Load checkpoint

↓

Validate snapshot

↓

Resume

or

Restart

Recovery should minimize repeated expensive cognition.

176. Background Services

The runtime supports persistent services.

Examples:

Compiler

Indexer

Synchronizer

Evaluator

Artifact Downloader

Trust Updater

They behave like operating-system daemons.

177. Idle-Time Scheduling

Background work SHOULD prefer:

charging,
Wi-Fi,
low CPU load,
user inactivity.

This is particularly important on mobile devices.

178. Synchronization

Synchronization exchanges:

Acts

Patches

Artifacts

K-lines

Evaluations

Never raw working memory.

179. Synchronization Model

Synchronization is eventually consistent.

Local cognition always remains authoritative for the local Mind.

180. Offline Operation

The runtime SHALL support:

offline reasoning

offline artifacts

offline K-lines

offline memory

deferred synchronization

Connectivity is an optimization.

181. Deferred Commit

If external dependencies are unavailable:

execute locally

↓

queue synchronization

↓

publish later

The Mind continues functioning.

182. Remote Failure

Remote failures include:

expert unavailable

market unavailable

TLSNotary unavailable

network unavailable

The scheduler SHOULD seek alternatives rather than immediately failing.

183. Graceful Degradation

Preferred degradation order:

compiled artifact

↓

local model

↓

organization expert

↓

remote market

↓

human

The runtime should preserve functionality whenever possible.

184. Resource Accounting

Every process tracks:

CPU

memory

battery

network

money

attention

Scheduling decisions incorporate these costs.

185. Cognitive Garbage Collection

Temporary cognition SHOULD expire.

Candidates:

temporary plans

expired bindings

old checkpoints

unused embeddings

obsolete caches

Long-term knowledge is preserved separately.

186. Working Memory Eviction

Working memory eviction SHOULD prioritize:

completed tasks

irrelevant context

duplicate information

low-value intermediates

The world model remains unaffected.

187. Runtime Security

The runtime SHALL enforce:

least privilege;
capability-based access;
explicit authority;
process isolation;
signed patches;
immutable history.

No Agency receives unrestricted access.

188. Capability Sandboxing

Agencies receive only the capabilities required by their current contract.

Unused capabilities remain unavailable.

189. Secret Handling

Secrets SHALL remain outside working memory whenever possible.

Instead:

secret reference

↓

secure vault

↓

authorized access

Reasoning should not unnecessarily expose credentials.

190. Secure Locality

Sensitive cognition SHOULD remain local whenever policy allows.

Examples:

health

finance

identity

personal relationships

Remote execution requires explicit policy.

191. Runtime Auditing

Every significant runtime action SHOULD produce:

event

patch

Act

evaluation

log reference

Auditing is integral, not optional.

192. Health Monitoring

Kernel metrics include:

scheduler load

pending patches

background queue

System 2 rate

artifact hit rate

average novelty

learning backlog

checkpoint age

These help diagnose the health of a Mind.

193. Runtime Upgrades

Runtime upgrades SHALL preserve:

world model;
Acts;
K-lines;
artifacts;
authority;
history.

Migration scripts MUST be explicit.

194. Crash Consistency

Following unexpected termination:

committed patches remain committed;
uncommitted patches remain proposals;
world state remains coherent.

Recovery SHALL never fabricate state.

195. Distributed Minds

Multiple Minds MAY cooperate.

Each retains:

local authority;
local trust;
local world model.

Shared cognition flows through:

Acts;
K-lines;
artifacts;
evaluations.

Never through implicit shared memory.

196. Cognitive Federation

The runtime views federation as:

discover

↓

verify

↓

evaluate

↓

trust

↓

activate

Activation is always local.

197. Runtime Invariants

The runtime SHALL preserve:

Snapshot isolation for reasoning.
Transactional patch commitment.
Proposal-before-mutation.
Immutable historical Acts.
Recoverability through checkpoints.
Local autonomy.
Least privilege.
Event-driven execution.
Offline capability.
Continuous learning.

198. Reference Runtime Loop

Observation
      ↓
Interpretation
      ↓
Recognition
      ↓
Scheduling
      ↓
System 1 / System 2
      ↓
Capability Resolution
      ↓
Execution
      ↓
Patch Proposal
      ↓
Validation
      ↓
Authorization
      ↓
Commit
      ↓
Actum Act
      ↓
Learning
      ↓
Compilation Opportunity

This loop continuously evolves the Mind.

199. Strategic Observation

Traditional AI applications execute requests.

DCN Runtime executes persistent cognition.

The runtime therefore behaves much more like an operating system than a chatbot.

Processes cooperate.

State persists.

Learning accumulates.

Authority remains explicit.

History remains immutable.

Every execution contributes not only to solving the current problem, but also to increasing the future cognitive capability of the Mind.

200. Runtime Definition

The DCN Runtime is:

A cognitive operating system that schedules attention, coordinates specialized cognitive processes, maintains a persistent semantic world model, executes proposal-based state transitions, survives interruption, learns continuously, and transforms repeated reasoning into reusable cognitive capital while preserving local autonomy, authority, and verifiable history.

This runtime is the execution environment in which Kline, Actum Compute, Actum, TLSNotary, ZeroK, Agent Plugins, MCP, A2A, and future cognitive technologies cooperate as one coherent Mind.

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