Cognitive State Graph

Beyond Knowledge Graphs

Traditional knowledge graphs store entity-relationship triples. YantrikDB’s cognitive state graph uses typed nodes and typed edges designed for AI reasoning about a user’s mental state.

Node Types

Category	Types	Purpose
Primary	Belief, Goal, Intent, Action Schema	Core cognitive states
Data-Linked	Entity, Episode, Conversation Thread	Grounded in real data
Situational	Opportunity, Risk, Constraint, Task	Current context
Behavioral	Routine, Need, Preference	Learned patterns

Edge Types

Edge	Meaning	Example
supports	Evidence for	Belief → Goal
contradicts	Conflicts with	Belief A ↔ Belief B
causes	Leads to	Intent → Action
predicts	Anticipates	Routine → Need
competes	Alternative to	Opportunity ↔ Risk
refines	Specializes	Risk → Constraint
generalizes	Abstracts	Action → Schema
depends	Requires	Task → Preference

Patent Coverage

The cognitive state graph architecture is covered by Claim 2 of U.S. Patent Application No. 19/573,392.