Artificial Intelligence
Introduction to Artificial Intelligence
Artificial intelligence is the art and science of adapting computers to emulate how human think and act and make decisions. Artificial intelligence is also used to accomplish physical tasks that may be too dangerous for human beings. While computer seem smart, they are only good as the human who program them. Most important, they are not capable of true human action. All humans have Artificial which they use for problem solving. When such Artificial is supported by computer software it becomes Artificial intelligence which we can use for variety of purposes. Artificial intelligence is the technology applied to non-numeric data expression in terms of symbols, statements and pattern. Artificial intelligence assists people in decision making process. Artificial intelligence responds to situation quickly. Artificial intelligence is field which is combination of computer science, robotics, mathematics, biology, engineering, physiology. AI research is highly technical and specialised, 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.
Perceptive System
Perceptive systems are system which is able to recognize touch, feel, and vision.
Natural Language Processing
The ability to interpret, or ground, natural language (NL) commands so they can be executed by a robot is important for enabling untrained users to interact with robots. The problem of grounding NL commands encompasses two key components: First, parsing natural language into a formal representation capable of representing a robot and its operation in an environment; and, second, mapping the formal representation to actions and perceptions in the real world.
Natural language processing gives machines the ability to read and understand the languages that humans speak. A sufficiently powerful natural language processing system would enable natural language user interfaces and the acquisition of knowledge directly from human-written sources, such as Internet texts.
Expert System
Expert system are common form of artificial intelligence. They are used to assist humans in the decision-making process, but they do not replace human. They act like expert person and provide necessary information in decision making. They advise managers in important business decisions. This system maintains the knowledge base on past experience. We can process information using two techniques called as backward chaining and forward chaining. In forward chaining we move though the rule in forward direction. In back ward chaining we start with hypothesis.
Knowledge Representation
Now we have important question how to represent the knowledge in in computer, to solve problem AI needs to represent are objects, properties, categories and relations between objects.
Robotics
Robotics is the branch of engineering which deals robotics is the branch of technology that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing.
Neural Network
This type of knowledge emulates how human being learns things. You give input to neural network it compares it with already available information and finds new information. For more reading about technology news in singapore and seo to online marketing do view more about other pages.
