Living
Intelligence Systems
A research framework for investigating intelligence as an evolving property of interacting systems, relationships, networks and environments.
01 โ From Intelligent Systems to Living Systems
The Anuma framework begins with an intelligent system represented by state, relationships, memory, context and agency:
๐ฎโ = (Xโ, Rโ, Mโ, Cโ, Aโ)
The Living Intelligence Systems extension asks what happens when multiple such systems interact continuously.
๐ฎโ โ ๐ฎโ โ ๐ฎโ โ ... โ ๐ฎโ
The focus therefore shifts from isolated system behaviour toward the structure and dynamics of relationships among systems.
02 โ Network Representation
A network can be represented mathematically as:
G = (V, E, W)
Within a living intelligence system, this structure may evolve as interactions change.
03 โ The Evolving Relational Structure
Relationships are not necessarily static.
Rโ โ Rโโโ
An interaction can modify the relationship itself, creating a feedback process in which the network influences its components while the components simultaneously influence the network.
System โ Relationship โ Environment
This recursive structure is central to the concept of a living intelligence system.
04 โ Emergent Intelligence
The framework proposes that system-level intelligence may contain contributions that are not adequately represented by summing the capabilities of isolated components.
Isystem =
ฮฃIi
+
Irelations
+
Iemergence
This is a proposed modelling framework. The existence, magnitude and measurability of such emergent contributions are empirical questions.
05 โ Distributed Intelligence
Intelligence does not necessarily have to be located in one central computational unit.
Intelligence = Distributed Across Relationships
In a distributed system, different nodes can hold different information, capabilities and local states while the network provides the structure through which these components interact.
The Anuma framework investigates whether such distributed relational structures can produce measurable forms of coordination and adaptation.
06 โ Biological Systems
The living-intelligence framework is intentionally broader than artificial computation.
Biological systems can be investigated as networks of