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October 14,2014
A
rtificial Intelligence (AI) is the intelligence exhibited by machines or
software. It is an academic field of study which generally studies the
goal of emulating human-like intelligence.
IMPORTANCE
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create never-ending thought process and collective that could solve
our problems.
the most important technology of the future.
Driving forward key parts of the futurist agenda.
ADVANTAGES:
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Can take on stressful and complex work that humans may struggle or
cannot do.
Can complete task faster than a human.
To discover unexplored things.
Less errors and defects.
Function is infinite.
Casem, Marimar F.
DISADVANTAGES:
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Lacks the “human touch”.
Has the ability to replace human jobs.
Can malfunction.
Can be misused leading to mass scale destruction.
May corrupt younger generation.
APPLICATIONS:
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Used in a wide range of fields including medical diagnosis, stock
trading, robot control law, remote sensing, scientific
History and toys.
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LIMITATIONS:
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There is no chance of people working in AI producing a machine that
displays true intelligence until they give that machine the ability to
learn from the testimony of other agents.
DOES AI
FACTS:
EXIST?
–SOME
INTERESTING
“What is AI?” you ask Google. To which it replies, “Did you mean Artificial
Intelligence?” Of course you did. Meanwhile, in the 0.15 sec. It took you to
realize your own stupidity ,an intelligent machine has assembled 17,900,000
result for your consideration- including video, audio, historical records and
the latest headlines- ordered by relevance and reliability 20 years ago, this
type of artificial intelligence would have been the stuff of science fiction, but
now we simply call it “technology”.
Casem, Marimar F.
“This model is inspired by the brain,” she says. “It is a mathematical
formulation of the brain’s neural networks with their adaptive abilities.” The
authors show that when the model is installed in an environment offering
constant sensory stimuli like the real world, and when all stimulus-response
pairs are considered over the machine’s lifetime, the Super Turing model
yields an exponentially greater repertoire of behaviors than the classical
computer or Turing model. They demonstrate that the Super-Turing model is
superior for human-like tasks and learning.
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Artificial Intelligence began over 60 years ago as philosophical question
posted by the brilliant English mathematician Alan Turing: “Can machines
think?”In 1955, the words AI first appeared in print in a proposal for a
summer academic conference to study the hypothesis that “every aspect of
learning or other feature of intelligence can in principle so precisely
described that a machine can be made to stimulate it”.
As processing power continous to multiply, we are coming closer to
answering Turing’s question: “Can machine think?”We are teaching machines
to rely less on pure logic and more on probabilities and experience, what we
might call “intuition”. And they are fast learners.
POSITIVE OUTCOMES:
 Increased production and indirectly lowered casts have already
been witnessed in factories and production lines.
 Also pursued human dangerous situations that eliminate
unwarranted death due to potential accidents and unsafe
condition.
 Lives can be live more fully.
 Society begins to change as a whole.
Casem, Marimar F.
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NEGATIVE OUTCOMES:
 Unemployment rate could go up.
 Produce laziness in a part of human.
 If it is used in interpreting than the human mind and it’s capabilities
might go to waste.
 If it is planned, thinking human-like robot feelings and emotions, then
the laws would never be altered encompassing the roles of robots
society.
Would they responsible for their actions? Will they have right as
human?
APPROACHES:
 CLASSSICAL APPROACHES:
(designing the AI)-based on symbolic reasoning with are then
processed according to the rules of logic.
“INTELLIGENCE IS THE FACULTY OF MAKING ARTIFICIAL OBJECTS, ESPECIALLY
TOOLS MAKE TOOLS”
 CONNECT APPROACHES:
(letting AI develop)-based on neural networks and genetic algorithms.
-evolve better solutions to a problem with every generation.
Casem, Marimar F.
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SOME IMAGES OF ARTIFICIAL INTELLIGENCE:
“ TRUST IS
GOOD,PROOF IS
BETTER”
Casem, Marimar F.
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LIST OF PROGRAMMING LANGUAGES:
actions. For each action preconditions (what must be established before
the action is performed) and post conditions (what is established after the
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IPL was the first language developed for artificial intelligence. It includes
features intended to support programs that could perform general
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Planner is a hybrid between procedural and logical languages. It gives a
procedural interpretation to logical sentences where implications are
memory allocation, data types, recursion, associative retrieval, functions
interpreted with pattern-directed inference.
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POP-11 is a reflective, incrementally compiled programming
Lisp is a practical mathematical notation for computer programs based
language with many of the features of an interpreted language. It is the
on lambda calculus. Linked lists are one of Lisp languages' major data
core language of the Pop log programming environment developed
structures, and Lisp source code is itself made up of lists. As a result,
originally by the University of Sussex, and recently in the School of
Lisp programs can manipulate source code as a data structure, giving
Computer Science at the University of Birmingham which hosts the Pop
rise to the macro systems that allow programmers to create new syntax
log website, It is often used to introduce symbolic programming
or even new domain-specific programming languages embedded in Lisp.
techniques to programmers of more conventional languages like Pascal,
There are many dialects of Lisp in use today, among them are Common
who find POP syntax more familiar than that of Lisp. One of POP-11's
Lisp, Scheme, and Clojure.
features is that it supports first-class functions.
Pro log is a declarative language where programs are expressed in terms
of relations, and execution occurs by running queries over these
relations. Pro log is particularly useful for symbolic reasoning, database
and language parsing applications. Pro log is widely used in AI today.
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problem solving, including lists, associations, schemas (frames), dynamic
as arguments, generators (streams), and cooperative multitasking.
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action is performed) are specified.
STRIPS is a language for expressing automated planning problem
instances. It expresses an initial state, the goal states, and a set of
Casem, Marimar F.
AI applications are also often written in standard languages like C++ and
languages designed for mathematics, such as MATLAB and Lush.
“ARTIFICIAL INTELLIGENCE IS NO MATCH IN NATURAL
STUPIDITY”
-QuotesADAY.com
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Casem, Marimar F.
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