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Key terms and concepts used in the Organizma thesis explained.

A-C

Adaptive Network
Neuroscience, Business

A system of interconnected nodes that can modify its structure and behavior in response to changing conditions or feedback. In Organizma, this refers to a business ecosystem that can reorganize itself to adapt to market changes.

Business Ecosystem
Business, Biology

A network of organizations including suppliers, distributors, customers, competitors, and government agencies involved in the delivery of a specific product or service. In Organizma, this is viewed through the lens of biological ecosystems with symbiotic relationships.

Connectome
Neuroscience

Originally, a comprehensive map of neural connections in the brain. In Organizma, the "business connectome" refers to the complete mapping of relationships, information flows, and dependencies between entities in a business ecosystem.

D-F

Emergent Properties
Systems Theory, Biology

Characteristics or behaviors that arise from the interactions between parts of a system but cannot be predicted from the properties of individual parts. In business, these are innovative solutions or opportunities that emerge from complex interactions within a network.

G-I

Homeostasis
Biology

The tendency of a system to maintain internal stability and balance. In Organizma, this refers to a business's ability to maintain operational stability while adapting to external changes.

J-L

Neuroplasticity
Neuroscience

The brain's ability to reorganize itself by forming new neural connections. In business context, it refers to an organization's ability to restructure, learn, and adapt to new market conditions or challenges.

M-O

Mutualism
Biology

A relationship between two species where both benefit. In Organizma, this describes business relationships where both entities derive value and growth from their interaction.

Neural Network
Neuroscience, Computer Science

A network of neurons or a computing system modeled on the brain. In Organizma, this concept is applied to understand how businesses can form networks that process information and respond to market stimuli.

P-R

Quantum Decision Theory
Quantum Physics, Decision Science

A theoretical framework that applies quantum probability to decision-making. In Organizma, this is used to model business decisions under uncertainty and complex conditions.

S-U

Symbiosis
Biology

A close and long-term interaction between two or more different biological species. In business context, it refers to long-term strategic partnerships where organizations with different capabilities work together.

Superposition
Quantum Physics

A principle in quantum mechanics where particles exist in multiple states simultaneously until measured. In Organizma, this concept is applied to business strategy to represent the simultaneous exploration of multiple potential opportunities.

V-Z

Versioned Evolution
Organizma-specific

The documented, iterative development of the Organizma thesis over time, with each version building upon previous insights and incorporating new research and real-world applications.