Abstract: Systems and methods are described for determining trustworthiness. The systems and methods may perform obtaining a plurality of nodes associated with a first entity, wherein the plurality of nodes correspond to one or more additional entities, each of the one or more additional entities being defined by a trust metric, a relationship indication, and at least one activation function, generating, for each of the plurality of nodes, an output by executing each activation function according to a set of predefined rules defined for the plurality of nodes, wherein each activation function uses a respective trust metric defined for the one or more additional entities, and generating a model for determining trustworthiness of the first entity based on each relationship indication and the output for each of the plurality of nodes.

Abstract: A computer system (which may include one or more computers) that automatically generates a plan for a power-system project is described. During operation, the computer system may receive a user query that specifies an objective or a goal. Then, the computer system may access stored information, where the stored information includes: wind data, solar data, ownership of land, energy cost, environmental conditions, connectivity, local infrastructure, regulations associated with a utility approval process, and available equipment (such as wind and/or solar equipment). Next, based at least in part on the information and the objective or goal, the computer system may automatically generate the plan for the power-system project. Moreover, the computer system may provide second information specifying the plan for the power-system project.

Abstract: A computer system (which may include one or more computers) that modifies a plan for a power-system project is described. During operation, the computer system may access stored information that specifies the plan for the power-system project and second information specifying prior power-system projects that were successful. Then, the computer system may submit the plan and may receive feedback about the plan during an approval process associated with a utility commission and/or a municipal government. Moreover, based at least in part on the second information and the feedback, the computer system may automatically modify the plan for the power-system project, where the modified plan increases an estimated probability of success of the power-system project. Next, the computer system may provide third information specifying the modified plan for the power-system project.

Abstract: A computer system (which may include one or more computers) that identifies a plan for a power-system project is described. During operation, the computer system may access stored information that specifies plans for power-system projects. Then, based at least in part on the information, the computer system may estimate risks and/or ROIs for the power-system projects. Moreover, based at least in part on the estimated risks and/or ROIs, the computer system may identify the plan for the power-system project in the plans for the power-system projects. Next, the computer system may provide second information specifying the identified plan for the power-system project.

Abstract: Systems and methods are described for determining trustworthiness. The systems and methods may include obtaining a plurality of nodes associated with a first entity, wherein the plurality of nodes correspond to a plurality of additional entities, each the plurality of nodes being defined by both a trust metric and a relationship indication to the first entity or to another of the plurality of additional entities; generating a model of the plurality of nodes based on the trust metric and the relationship indication to the first entity or to another of the plurality of additional entities; and generating, based on the generated model, an application programming interface (API) for accessing and modifying a representation of the model according to one or more selectable contexts or attributes associated with one or more of the plurality of nodes.

Abstract: Systems and methods are described for determining trustworthiness. The systems and methods may perform obtaining a plurality of nodes associated with a first entity, wherein the plurality of nodes correspond to one or more additional entities, each of the one or more additional entities being defined by a trust metric, a relationship indication, and at least one activation function, generating, for each of the plurality of nodes, an output by executing each activation function according to a set of predefined rules defined for the plurality of nodes, wherein each activation function uses a respective trust metric defined for the one or more additional entities, and generating a model for determining trustworthiness of the first entity based on each relationship indication and the output for each of the plurality of nodes.