dimpy.handa
Dimpy Handa
A LOT has been said about Artificial Intelligence. Lot of research is going on. But it would be interesting to find out what you think about possibility of artificial intelligence.
Artificial Intelligence (AI)
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dimpy.handa
Dimpy Handa
Re: AI (Artificial Intelligence)
The classical approach to artificial intelligence consists in analyzing human intelligent behavior, in developing formal models explaining this behavior, and in coding these models into computer systems.I believe that artificial intelligence is only credible and feasible when embodied artificial agents autonomously bootstrap their competence in interaction with physical environments.
The classical approach to artificial intelligence consists in analyzing human intelligent behavior, in developing formal models explaining this behavior, and in coding these models into computer systems.I believe that artificial intelligence is only credible and feasible when embodied artificial agents autonomously bootstrap their competence in interaction with physical environments.
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vardhanvishnug
Guest
Re: AI (Artificial Intelligence)
Artificial intelligence can never match the human intelligence as the naturality will miss like taking decisions and innovation will be missing for sure and its human who is creating the artifiical intelligence
Artificial intelligence can never match the human intelligence as the naturality will miss like taking decisions and innovation will be missing for sure and its human who is creating the artifiical intelligence
arun.trikha
Arun Trikha
looks like i will have something good to read on my way, many thanks!!
satyamsaxena0786
Satyam Saxena
Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines."
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 optimism, but has also suffered setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.
AI research is highly technical and specialized, and deeply divided into subfields that often fail to communicate with each other.
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 optimism, but has also suffered setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.
AI research is highly technical and specialized, and deeply divided into subfields that often fail to communicate with each other.
swatiraohnlu
Swati Rao
Another significant area of artificial intelligence is planning. The problems of reasoning and planning share many common issues, but have a basic difference that originates from their definitions. The reasoning problem is mainly concerned with the testing of the satisfiability of a goal from a given set of data and knowledge. The planning problem, on the other hand, deals with the determination of the methodology by which a successful goal can be achieved from the known initial states. Automated planning finds extensive applications in robotics and navigational problems.
dimpy.handa
Dimpy Handa
To understand what exactly artificial intelligence is, we illustrate some common problems. Problems dealt with in artificial intelligence generally use a common term called 'state'. A state represents a status of the solution at a given step of the problem solving procedure. The solution of a problem, thus, is a collection of the problem states. The problem solving procedure applies an operator to a state to get the next state. Then it applies another operator to the resulting state to derive a new state. The process of applying an operator to a state and its subsequent transition to the next state, thus, is continued until the goal (desired) state is derived. Such a method of solving a problem is generally referred to as state space approach. We will first discuss the state-space approach for problem solving by a well-known problem, which most of us perhaps have solved in our childhood.