"Methods and Approaches for developing Artificial intelligence"
Bio – inspired
One of the new Approaches of artificial intelligence is the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning.[1] Artificial intelligence can concern with producing and simulating the ability of human brain. These new methods take inspiration of wide range of biological structures such as self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, artificial immune systems, biorobotics.
Evolutionary computation and evolutionary electronics (Evolvable hardware (EH))
Evolvable hardware (EH) is a new field about the use of evolutionary algorithms (EA) to create specialized electronics without manual engineering. Evolvable hardware refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment.
Artificial neural networks
Artificial neural networks
(ANNs) are a family of statistical learning algorithms inspired by biological neural networks (the central nervous systems of humans, in particular
the brain) and are used to estimate
or approximate functions that can depend on a large
number of inputs and are generally unknown. Artificial neural
networks are generally presented as systems of interconnected "neurons" which can compute
values from inputs, and are capable of machine learning as well as pattern
recognition thanks to their adaptive nature.
Artificial immune systems
Artificial immune systems
are inspired by human immune system that used to characteristics computational
problems from mathematics, engineering, and information technology then towards
solving problems by itself.
Biorobotics
Biorobotics is often a
subfield of robotic which is the studying how to make robots living biological
organisms and chemically.
Industry
In many industrial applications, large
centralized software systems are not as effective as distributed networks
of relatively simpler computerized agents. For
example, to compete effectively in today's markets, manufacturers must be able to design, implement, reconfigure,
resize, and maintain manufacturing facilities rapidly and inexpensively. Because modern manufacturing
depends heavily on computer systems, these same requirements apply to manufacturing control software, and are
more easily satisfied by small modules than by large monolithic
Robots
Have become common in many industries. They are
often given jobs that are considered dangerous to humans. Robots have proven
effective in jobs that are very repetitive which may lead to mistakes or
accidents due to a lapse in concentration and other jobs which humans may find
degrading. Japan is the leader in using and producing robots in the world. In 1999,
1,700,000 robots were in use worldwide. For more information, see survey about artificial intelligence in business.
No comments:
Post a Comment