An agent-based modeling system for predicting and/or analyzing brain behavior is provided. The system includes a computer processor configured to define nodes and edges that interconnect the nodes. The edges are defined by physiological interactions and/or anatomical connections. The computer processor further defines rules and/or model parameters that define a functional behavior of the nodes and edges. The computer processor assigns the nodes to respective brain regions, and the rules and/or model parameters are defined by observed physiological interaction of the nodes that are functionally and/or structurally connected by said edges of brain regions to thereby provide an agent-based brain model (ABBM) for predicting and/or analyzing brain behavior.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An agent-based modeling system for predicting and/or analyzing brain behavior, the system comprising: a computer processor configured to define: nodes and edges that interconnect said nodes, wherein said edges are defined by physiological interactions and/or anatomical connections; and rules and/or model parameters that define a functional behavior of said nodes and edges; wherein the computer processor assigns said nodes to respective brain regions, and said rules and/or model parameters are defined by observed physiological interaction of said nodes that are functionally and/or structurally connected by said edges of brain regions to thereby provide an agent-based brain model (ABBM) for predicting and/or analyzing brain behavior. 2. The agent-based modeling system of claim 1, wherein said rules and/or model parameters are determined by evolutionary algorithms. 3. The agent-based modeling system of claim 1, wherein said rules and/or model parameters are determined by genetic algorithms. 4. The agent-based modeling system of claim 1, wherein said edges are observed by an imaging modality. 5. The agent-based modeling system of claim 4, wherein said imaging modality is a structural MRI, functional MRI, EEG and/or MEG imaging modality. 6. The agent-based modeling system of claim 1, wherein said edges are observed by dissection. 7. The agent-based modeling system of claim 1, wherein the brain regions are mammalian brain regions. 8. The agent-based modeling system of claim 1, wherein said computer processor assigns each of said nodes a state and updates said states responsive to said rules and/or model parameters. 9. The agent-based modeling system of claim 8, wherein computer processor updates said states using model parameters that are task and/or problem-based model parameters. 10. The agent-based modeling system of claim 9, wherein the model parameters are determined by optimization calculations including evolutionary algorithms, simulated annealing and/or hill climbing calculations. 11. The agent-based modeling system of claim 8, wherein said computer processor updates said states using the model parameters so as to model emergent cognition, thought, consciousness, mimic human behavior and/or perform a task. 12. The agent-based modeling system of claim 1, wherein said observed physiological interaction of said nodes that are functionally and/or structurally connected by said edges of brain regions are for a patient, said computer processor is further configured to provide a possible diagnoses for neurological diseases and/or conditions responsive to said nodes, edges, rules and/or model parameters for the patient. 13. The agent-based modeling system of claim 12, wherein said computer processor is further configured to determine a predicted prognosis for neurological diseases and/or conditions responsive to said nodes, edges, rules and/or model parameters for the patient. 14. The agent-based modeling system of claim 11, wherein said computer processor is further configured to perform treatment tests that modify the model parameters and/or agent-based brain model based on a desired treatment and to determine a likely outcome of the desired treatment responsive to resulting changes in agent-based brain model outcomes. 15. The agent-based modeling system of claim 1, wherein said edges comprise a weighting factor corresponding to a strength of interconnectivity between nodes. 16. The agent-based modeling system of claim 1, wherein said nodes comprise a pair of first and second nodes, said first node having a first state with a first state value and said second node having second state with a second state value, and said edges define a positive interconnectivity between said pair of first and second nodes when said first state value and said second state value of the first and second nodes are the same, and said edges define a negative interconnectivity between said pair of first and second nodes when said first state value and said second state value are different. 17. The agent-based modeling system of claim 1, wherein said rules and/or model parameters include an internal motivation curve and environmental opportunity curve. 18. The agent-based modeling system of claim 17, wherein said computer processor is configured to output a behavior responsive to the internal motivation and environmental opportunity curves. 19. The agent-based modeling system of claim 18, wherein said computer processor is configured to modify said internal motivation and environmental opportunity curves responsive to said behavior. 20. The agent-based modeling system of claim 17, wherein said internal motivation curve comprises a measurement of an internal need to perform a behavior or potential behavior, and said environmental opportunity curve comprises a measurement of an availability of a behavior, potential behavior, resource and/or other action, and wherein said internal motivation and environmental opportunity curves together define a benefit for performing each of a plurality of possible behaviors. 21. The agent-based modeling system of claim 17, wherein said functional behavior comprises a plurality of behaviors, each of said plurality of behaviors comprising a weighted benefit corresponding to said internal motivation curve. 22. The agent-based modeling system of claim 19, wherein a modification to said internal motivation and environmental opportunity curves defines said edges that interconnect said nodes. 23. A method for providing an agent-based brain model for predicting and/or analyzing brain behavior, the agent-based brain model comprising nodes and edges that interconnect said nodes, rules and/or model parameters that define a functional behavior of said nodes and edges, the method comprising: observing physiological interactions of ones of said nodes that are connected by respective ones of said edges; assigning, by a computer processor, said nodes to respective brain regions; defining, by a computer processor, said edges responsive to physiological interactions and/or anatomical connections; defining said rules and/or model parameters responsive to the observed physiological interactions and/or anatomical connections of the brain regions connected by said edges to thereby provide an agent-based brain model; and predicting and/or analyzing brain behavior using said agent-based brain model. 24. A computer program product for providing an agent-based brain model predicting and/or analyzing brain behavior, the agent-based brain model comprising nodes and edges that interconnect said nodes, rules and/or model parameters that define a functional behavior of said nodes and edges, the computer program product comprising: a computer readable storage medium having computer readable program code embodied in said medium, said computer readable program code comprising: computer readable program code configured to observe physiological interactions of said nodes that are connected by respective ones of said edges; computer readable program code configured to assign said nodes to respective brain regions; computer readable program code configured to define said edges responsive to physiological interactions and/or anatomical connections; and computer readable program code configured to define said rules and/or model parameters responsive to the observed physiological interactions and/or anatomical connections of the brain regions connected by said edges to thereby provide an agent-based brain model for predicting and/or analyzing brain behavior.