Abstract: The present invention addresses deficiencies of the art with respect to collaborative computer networks consisting of mixed data, control functions, analysis functions, and sensors in complex systems of systems. The method involves a database framework for representing complex heterogeneous characteristics of processes, systems, and systems of systems that feature many to many interrelationships. The homoiconic graph framework takes the form of an executable graph database, which is often faster for associative data sets, and maps more directly to object-oriented computer applications for large-scale operations. The invention provides a method to execute the graph database, in that the graph comprises nodes that are both data fragments and executable components. The graph is characterized as one or more homoiconic or executable graph frameworks, to distinguish this unique feature from the concept of a graph database, which generally is a repository of connected data only.

Abstract: A system and method to optimize plant growth with minimal labor. The system includes a set of sensors, a set of environment controlling equipment, and a processor programmed to acquire data from the sensors and manage operation of the environment controlling equipment based on the sensed data and operator input. The processor is programmed effectively as an artificial intelligence function that learns from sensed information and prior operator inputs to generate control equipment operating instructions that optimize plant growth. A learning network such as an A.I. enabled learning network may be deployed through the processor to gather sensed information directly and indirectly and instruct actuators of the control equipment, and to gather feedback from the operation of that equipment to observe changes in plant environment conditions through sensor information.

Abstract: The present invention addresses deficiencies of the art with respect to collaborative computer networks consisting of mixed data, control functions, analysis functions, and sensors in complex systems of systems. The method involves a database framework for representing complex heterogeneous characteristics of processes, systems, and systems of systems that feature many to many interrelationships. The homoiconic graph framework takes the form of an executable graph database, which is often faster for associative data sets, and maps more directly to object-oriented computer applications for large-scale operations. The invention provides a method to execute the graph database, in that the graph comprises nodes that are both data fragments and executable components. The graph is characterized as one or more homoiconic or executable graph frameworks, to distinguish this unique feature from the concept of a graph database, which generally is a repository of connected data only.