20-09-2014, 09:36 AM
Artificial Intelligence
[attachment=68198]
Artificial Intelligence
Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans.
A.I is the study of ideas that enable computers to be intelligent
What is Neural Networking
Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
Human Intelligence VS Artificial Intelligence
Intuition, Common sense, Judgement, Creativity, Beliefs etc
The ability to demonstrate their intelligence by communicating effectively
Plausible Reasoning and Critical thinking
CONCLUSION
The intention of the algorithm to generate a time-table
schedule automatically is satisfied. The algorithm
incorporates a number of techniques, aimed to improve the
efficiency of the search operation. It also, addresses the
important hard constraint of clashes between the availability
of teachers. The non-rigid soft constraints i.e. optimization
objectives for the search operation are also effectively
handled. Given the generality of the algorithm operation, it
can further be adapted to more specific scenarios, e.g.
University, examination scheduling and further be enhanced
to create railway time tables. Thus, through the process of
automation of the time-table problem, many an-hours of
creating an effective timetable have been reduced eventually.
The most interesting future direction in the development of
the algorithm lies in its extension to constraint propagation.
When there is a value assigned to a variable, such
assignment can be propagated to unassigned variables to
prohibit all values which come into conflict with the
current assignments. The information about such prohibited
values can be propagated as well
[attachment=68198]
Artificial Intelligence
Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans.
A.I is the study of ideas that enable computers to be intelligent
What is Neural Networking
Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
Human Intelligence VS Artificial Intelligence
Intuition, Common sense, Judgement, Creativity, Beliefs etc
The ability to demonstrate their intelligence by communicating effectively
Plausible Reasoning and Critical thinking
CONCLUSION
The intention of the algorithm to generate a time-table
schedule automatically is satisfied. The algorithm
incorporates a number of techniques, aimed to improve the
efficiency of the search operation. It also, addresses the
important hard constraint of clashes between the availability
of teachers. The non-rigid soft constraints i.e. optimization
objectives for the search operation are also effectively
handled. Given the generality of the algorithm operation, it
can further be adapted to more specific scenarios, e.g.
University, examination scheduling and further be enhanced
to create railway time tables. Thus, through the process of
automation of the time-table problem, many an-hours of
creating an effective timetable have been reduced eventually.
The most interesting future direction in the development of
the algorithm lies in its extension to constraint propagation.
When there is a value assigned to a variable, such
assignment can be propagated to unassigned variables to
prohibit all values which come into conflict with the
current assignments. The information about such prohibited
values can be propagated as well