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The use of simulation-based learning in the medical field has many benefits, including patient safety, accelerating diagnostic and therapeutic procedures, unfulfilled demand for medical personnel, medical cost reduction and lowering of medical errors that amount to loss of life and associated costs. The use of current technologies allow for ...
In computer science, in particular in knowledge representation and reasoning and metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning. The study of automated reasoning helps produce computer programs that allow computers to reason completely, or nearly completely, automatically.
The concept of intelligent machines for instructional use date back as early as 1924, when Sidney Pressey of Ohio State University created a mechanical teaching machine to instruct students without a human teacher. [5] [6] His machine resembled closely a typewriter with several keys and a window that provided the learner with questions. The ...
In the classroom, this hierarchical organization was used by the teacher as a pre-reading strategy to show relationships among vocabulary. Its use later expanded for not only pre-reading strategies but for supplementary and post-reading activities. It was not until the 1980s that the term graphic organizer was used. [7]
John Alan Robinson (9 March 1930 – 5 August 2016) was a philosopher, mathematician, and computer scientist.He was a professor emeritus at Syracuse University.. Alan Robinson's major contribution is to the foundations of automated theorem proving.
Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system.
This may involve reasoning over observed events or example data provided for training purposes. For example, machine learning systems may use inductive reasoning to generate hypotheses for observed facts. Learning systems search for generalised rules or functions that yield results in line with observations and then use these generalisations to ...
Anthropic reasoning has been used to address the question as to why certain measured physical constants take the values that they do, rather than some other arbitrary values, and to explain a perception that the universe appears to be finely tuned for the existence of life.