Search results
Results from the WOW.Com Content Network
Example of a logic model for a school-based self-management educational interventions for asthma in children and adolescents. Logic models are hypothesized descriptions of the chain of causes and effects leading from inputs and activities to an outcome of interest (e.g. prevalence of cardiovascular diseases, annual traffic collision, etc.).
The core of the Logical Framework is the "temporal logic model" that runs through the matrix. This takes the form of a series of connected propositions: If these Activities are implemented, and these Assumptions hold, then these Outputs will be delivered. If these Outputs are delivered, and these Assumptions hold, then this Purpose will be ...
Step 1: Logic Model of the Problem Establish and work with a planning group; Conduct a needs assessment to create a logic model of the problem; Describe the context for the intervention including the population, setting, and community; State program goals; Step 2: Program Outcomes and Objectives – Logic Model of Change
Organizational effectiveness is evaluated within nonprofit organizations using logic models. Logic models are a management tool widely used in the nonprofit sector in program evaluation. Logic models are created for specific programs to link specific, measurable inputs to specific, measurable impacts. [20]
In mathematical logic, abstract model theory is a generalization of model theory that studies the general properties of extensions of first-order logic and their models. [ 1 ] Abstract model theory provides an approach that allows us to step back and study a wide range of logics and their relationships. [ 2 ]
Logico-linguistic models have a superficial similarity to John F. Sowa's conceptual graphs; [1] both use bubble style diagrams, both are concerned with concepts, both can be expressed in logic and both can be used in artificial intelligence. However, logico-linguistic models are very different in both logical form and in their method of ...
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains. [2] It is applicable to a variety of machine learning problems, such as collective classification, entity resolution, link prediction, and ontology alignment.
In logic, a logical framework provides a means to define (or present) a logic as a signature in a higher-order type theory in such a way that provability of a formula in the original logic reduces to a type inhabitation problem in the framework type theory. [1] [2] This approach has been used successfully for (interactive) automated theorem ...