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The Logical Framework Approach takes the form of a four-by-four project table, often referred to as a "Logframe". The rows represent types of events that take place as a project is implemented: Activities , Outputs , Purpose and Goal (from bottom to top on the left hand side — see EC web site under external links).
Symbolic machine learning encompassed more than learning by example. E.g., John Anderson provided a cognitive model of human learning where skill practice results in a compilation of rules from a declarative format to a procedural format with his ACT-R cognitive architecture. For example, a student might learn to apply "Supplementary angles are ...
The Modular Cognition Framework (MCF) is an open-ended theoretical framework for research into the way the mind is organized. It draws on the common ground shared by contemporary research in the various areas that are collectively known as cognitive science and is designed to be applicable to all these fields of research.
The first logical framework was Automath; however, the name of the idea comes from the more widely known Edinburgh Logical Framework, LF. Several more recent proof tools like Isabelle are based on this idea. [1] Unlike a direct embedding, the logical framework approach allows many logics to be embedded in the same type system. [3]
OWL is a standard to provide a semantic layer on top of the Internet. The goal is that rather than organizing the web using keywords as most applications (e.g. Google) do today the web can be organized by concepts organized in an ontology. The name of the OWL language itself provides a good example of the value of a Semantic Web.
This framework, form or model is called "logical" because it follows logical reasoning; where deductive reasoning is use in identifying a hierarchy of problems, using the cause and effect process and then deductive reasoning is used to design the Goal, Objectives (outcomes), Activities (outputs), Verifiable Indicators and the Means of Verification.
Logic model of the problem, which is a graphical depiction of at-risk population and its social environment behaviors (factors) leading to the health problem and their respective causal pathways (attitudes, beliefs, skills, etc.). This may include as well at-risk population physical environment related causes such as pollutants or lack of ...
The second map integrates specific objects, or landmarks, and their relative locations to create a 2D map of the environment. The cognitive map is thus obtained by the integration of these two separate maps. [17] This leads to an understanding that it is not just one map but three that help us create this mental process. It should be clear that ...