Abstract: A system for evaluating and enhancing an autonomous actor network includes: a first computer-implemented current state assessment module, assessing a current autonomous actor network representation and providing a first output; a second computer-implemented simulation module, using the first output and simulating potential individual and ensemble interventions in the current autonomous actor network and providing a second output indicating effects of the simulations; a third computer-implemented ranking and selection module, using the second output and assembling a third output in the form of a set of the potential interventions ranked by feasibility and potential impact to increase collaboration in the autonomous actor network; a fourth computer-implemented intervention evaluation module, using the third output to test multiple of the potential interventions at one or more levels providing a fourth output; and a fifth computer-implemented update and correction module, using the second output and the fourth o

Abstract: Disclosed herein are systems and methods for assessing a learning network (LN). Aspects may include collecting data related to an organization to be assessed, analyzing the data with respect to a set of indicators associated with an organizational ontology of an actor-oriented architecture (AOA), determining a strength of LN capabilities for each indicator in the set of indicators, generating a dashboard to graphically communicate at least one summary-statistic indicative of a strength of at least one LN capability.

Abstract: The present disclosure describes a computational model of a learning network. The computational model may be implemented as instructions stored on a non-transitory memory that may be executed by a processor on a local machine or as part of a cloud-based architecture employing one or more multi-thread processors enabling different users to utilize the tool to enter data and visualize results simultaneously from different locations. The computational model may accept inputs corresponding to characteristics of a patient agent and characteristics of a clinician agent. The computational model may simulate how the patient agent and the clinician agent interact with respect to a treatment selection and efficacy and may additionally and iteratively simulate further interactions between the patient agent and the clinician agent. The computational model may record how the interactions between the patient agent and the clinician agent change patient agent outcomes over time.

Abstract: The multi-directional skates are a pair of roller skates, with each skate being an assembly having a skate boot, at least four roller assemblies, and a skid plate. The skate boot is a traditional in-line/aggressive skate-type boot including an upper shoe portion and a sole portion. The roller assemblies each include a substantially spherical roller or ball that act as rolling surfaces for skate, allowing it to create movement in any direction, not just forward and backward, but also sideways and complete 360 degree movement. The number and alignment of the roller assemblies may be modified according to the desires of the individual skater, but they are intended to be aligned such that each skate is capable of balancing itself it an upright position.