Artificial
intelligence (AI) is the intelligence
exhibited by machines or software, and the branch of computer science that develops machines and software
with intelligence. Major AI researchers and textbooks define the field as
"the study and design of intelligent agents", where an intelligent
agent is a system that
perceives its environment and takes actions that maximize its chances of
success. John McCarthy, who coined the term in 1955,defines it as "the
science and engineering of making intelligent machines”. I research is highly
technical and specialised, and is deeply divided into subfields that often fail
to communicate with each other. Some of the division is due to social and
cultural factors: subfields have grown up around particular institutions and
the work of individual researchers. AI research is also divided by several
technical issues. Some subfields focus on the solution of specific problems. Others focus on one of
several possible approaches or on the use of a particular tool or
towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning, knowledge,
planning, learning, communication, perception and the ability to move and manipulate
objects. General intelligence (or
"strong AI")
is still among the field's long-term goals. Currently popular approaches
include statistical methods, computational
intelligence and traditional symbolic AI. There are an
enormous number of tools used in AI, including versions of search and mathematical optimisation, logic, methods based on probability and
economics, and many others. The field was founded on the claim that a central
property of humans, intelligence the sapience of Homo
sapiens can be so precisely described that it can be simulated by a machine.
This raises philosophical issues about the nature of the mind and the ethics of creating artificial
beings, issues which have been addressed by myth, fiction and philosophy since antiquity. Artificial
intelligence has been the subject of tremendous optimism but has also suffered
stunning setbacks.
Today it has become an essential part of the technology industry and many of
the most difficult problems in computer science
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