Monday 24 October 2016

Artificial intelligence in education

It is the imagines topic in education. Artificial intelligence (AI) isintelligence exhibited by machines. Incomputer science, an ideal "intelligent" machine is a flexible rational agentthat perceives its environment and takes actions that maximize its chance of success at some goal.Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with otherhuman minds, such as "learning" and "problem solving".As machines become increasingly capable, facilities once thought to require intelligence are removed from the definition.
For example, optical character recognitionis no longer perceived as an exemplar of "artificial intelligence" having become a routine technology.Capabilities currently classified as AI include successfully understanding human speech,competing at a high level in strategic game systems (such as Chess and Go), self-driving cars, and interpreting complex data.
AI research is divided into subfields that focus on specific problems or on specific approaches or on the use of a particular tool or towards satisfying particular applications.

The central problems (or goals) of AI research include reasoning,knowledge, planning, learning, natural language processing(communication), perception and the ability to move and manipulate objects.General intelligence is among the field's long-term goals.Approaches include statistical methods, computational intelligence,soft computing (e.g. machine learning), and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. The AI field draws upon computer science,mathematics, psychology, linguistics,philosophy, neuroscience and artificial psychology.
The field was founded on the claim that human intelligence "can be so precisely described that a machine can be made to simulate it." This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence, issues which have been explored by myth,fiction and philosophy since antiquity. Attempts to create artificial intelligence have experienced manysetbacks, including the ALPAC reportof 1966, the abandonment ofperceptrons in 1970, the Lighthill Report of 1973 and the collapse of the Lisp machine market in 1987. In the twenty-first century AI techniques became an essential part of thetechnology industry, helping to solve many challenging problems in computer science.

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