Discuss about the Artificial Intelligence System.
Artificial Intelligence is an area of computer science that emphasizes in creating intelligent machines that behave and react like human being. The technology has become an important part of today’s industry. Research related with artificial intelligence is highly technical and specialized.
Computers are designed with artificial intelligence in order to provide services like research, learning, planning and problem solving etc. (Hoffart et al., 2013). The main aim of AI is to understand the principle that helps in making the behavior intelligent through natural or artificial systems. This is possible through Natural and artificial agent analysis, Hypothesis that helps in constructing intelligent agents and through Computational systems.
The researcher had used highly technical and specialized data in order to discuss the topic. Literature survey, applications of artificial intelligence, its future trends have been discussed in this report by the researcher
According to Nilsson (2014), AI systems are used by engineers in order solve a large range of intractable problems. The level of AI increases with the level of competency in order to deal with difficult and with even more dangerous tasks which are done by humans in the form of artificial intelligence. The main advantage of the technology is that they are real time automated system but they support various types of techniques and methodologies including control theory. Whenever new and undiscovered lands like planets are explored, AI systems can be used because they work like a machine which does not have emotions. The main architecture, techniques, algorithm that is used for distributed AI systems includes control and decision support system.
Figure 1: Artificial Intelligence for Gaming
(Source: Millington & Funge, 2016, 527)
On the other hand Millington and Funge (2016) discussed that there is no doubt that the technology can perform the entire task in a better way than humans, but the use of AI systems can cause harm. With the use of AI systems, unemployment is increasing at a faster rate. People are becoming jobless and as a result the technology has become the cause of mental illness and obesity for many human beings. The technology can cause massive destruction if it is used by wrong hands.
As stated by Nastase and Strube (2013), AI machines can be able to do everything that is essentially required. One most important advantage of using artificial intelligence is that they do fewer mistakes as compared to human beings. They can act as 24/7 for children’s who are actually suffering from disabilities. Artificial intelligence helps in learning and teaching. It can be used as a fire alarming system in order to avoid crime.
Figure 2: Type of Machine Learning (Artificial Intelligence)
(Source: Nastase & Strube, 2013, pp- 81)
On the other hand Millington and Funge (2016) stated that the organizations are fully dependent on AI systems. As a result if any problem occurs in the system then the system will create a huge problem as there is no backup technology in store of the organization, which they can use in need. The machine lacks the feeling of togetherness and sympathy, as they are a form of machine which works as human beings but they are actually not humans.
There are many application of artificial intelligence. The applications are:
An AI technique is used in natural language understanding: The AI technology is used in image processing. The main aim of image processing is to identify the relation between different parts of an image. This is done by attaching a camera to a computer, so a computer can easily access visual images (Milne & Witten, 2013). This facility is given to the computers so that they can easily access and understand their surroundings.
An AI technique is used in Network Intrusion Detection: Intrusion Detection System (IDS) technology uses various types of Artificial Intelligence technique in order to protect the computer and communication system from intrude (Nilsson, 2014). The system mainly helps in monitoring the events that mainly occurs in network and it also helps in designing and detecting the signs of intrusion.
An AI technique is used in medical area: AI systems have the potential to be applied in any field of medical science. It is used in medical area as:
An AI technique is used in Accounting Database: The problem in accounting database can be mitigated by using artificial technology. The main problem that is with accounting database is that humans cannot understand the process of computerized database. Integrating AI systems with the databases helps in assisting in investigation. The investigation includes large volumes data with or without the help of any decision maker (Hoffart et al., 2013). Thus, the system helps in analyzing and assisting the data for the users understanding and interpretation. By using artificial intelligence, information can be stored and retrieved in natural language. There are various techniques that are present in the system for assisting broader understanding of the events that are captured by the accounting systems (Hovy et al. 2013). The AI technology and the expert system works together helps in building the intelligence into the database for assisting the users.
An AI technique is used in the Computer Games: A Computer game generally uses three dimensional games and complex worlds (Nastase & Strube (2013). When AI technology is put together with graphics rendering, then an expected worthwhile computer games can be produced. AI technology is one of the main parts of computer games. With the use of artificial intelligence computer games have became interesting (Charniak et al., 2014). The AI system is mainly used in order to solve some of the problems that are related with computer games. Unit movement, analysis of the situation, learning, spatial reasoning, coordination with the group, allocation of resource and target selection are some of the units were AI mainly contributes.
An AI technique is used in Natural language Understanding: AI technology is used for understanding different natural languages. In this system an effective programming is used in the computer. The program sets commands and accordingly the system works (Hoffart et al., 2013). The main aim of the system is to enable people and language rather doing the same with the help of a programming language.
An AI technique is used in Aviation: The technology is used in aviation in order to collect data from different flights. The technology uses programs for collecting and distributing information (Milne & Witten, 2013). The main aim of the system is to measure the performance of the system which is a type of fault analysis.
In the next 10 years, AI will be able to communicate with human being in unstructured English which can be a text or voice. The other future trends of AI include:
Information processing will be parallel: The system is aided with the help of chips custom for designing AI application in order to process large amount of data (Millington & Funge, 2016)
Smarter gets redefined: This occurs with the advances in sensor, cloud and learning technology (Baarslag et al., 2013).
Deep Learning: It includes processing of data that are raw. The raw data includes pictures, speech, natural language etc.
Conclusion
It is concluded from the report that with the help of the artificial intelligence, information can be stored and retrieved. It is discussed that the different set of techniques that are present in the system for assisting broader understanding of the events. With the use of artificial intelligence computer games have became interesting. The analyzer concludes that the AI system is mainly used in order to solve some of the problems that are related with computer games. In IDS technology uses various types of Artificial Intelligence technique for protecting the computer and communication system from intrusion. The system mainly helps in monitoring the events that mainly occurs in network and it also helps in designing and detecting the signs of intrusion.
References
Baarslag, T., Fujita, K., Gerding, E. H., Hindriks, K., Ito, T., Jennings, N. R., … & Williams, C. R. (2013). Evaluating practical negotiating agents: Results and analysis of the 2011 international competition. Artificial Intelligence, 198, 73-103.
Charniak, E., Riesbeck, C. K., McDermott, D. V., & Meehan, J. R. (2014).Artificial intelligence programming. Psychology Press
Hoffart, J., Suchanek, F. M., Berberich, K., & Weikum, G. (2013). YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence, 194, 28-61.
Hoffart, J., Suchanek, F. M., Berberich, K., & Weikum, G. (2013). YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence, 194, 28-61.
Hovy, E., Navigli, R., & Ponzetto, S. P. (2013). Collaboratively built semi-structured content and Artificial Intelligence: The story so far. Artificial Intelligence, 194, 2-27.
Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.). (2013). Machine learning: An artificial intelligence approach. Springer Science & Business Media.
Millington, I., & Funge, J. (2016). Artificial intelligence for games. CRC Press.
Millington, I., & Funge, J. (2016). Artificial intelligence for games. CRC Press.
Milne, D., & Witten, I. H. (2013). An open-source toolkit for mining Wikipedia.Artificial Intelligence, 194, 222-239.
Nastase, V., & Strube, M. (2013). Transforming Wikipedia into a large scale multilingual concept network. Artificial Intelligence, 194, 62-85.
Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann
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