Artificial Intelligence, Simulation and Modelling - Assignment Example

Technology enhancing educational experience Name Institution Date Technology enhancing educational experience Introduction Nomination of artificial intelligence, simulation and modeling can help in teaching stage 5 of the syllabus. These areas can be taught effectively and in this assignment, three technologies that will be applied within this syllabus and the education setting have been identified as neural networks, Intelligent systems, and Object-orientation and agent-based system. In this case the students will get access to knowledge concerning the range of computer software and hardware application. Innovative skills will be acquired leading to creation of software technology solutions for various challenges in the world. Knowledge in this particular area will be very important in research marketing, new product development, product market testing and development of new designs in the manufacturing sector. Career paths will be opened in marketing, manufacturing or production, and research companies. Individuals with this kind of knowledge will find themselves being absorbed in a variety of career field including computer based technology itself. Teachings in this area will lead to realization of solutions to various challenges facing the world. It will also assist in the understanding of other areas involving technology development. Simulation, artificial intelligence and modeling are very much applicable in providing technological solutions to man. Artificial Intelligence, Simulation and Modelling Methods of programming in artificial intelligence permit or allow robust and realistic models and assist the user run, develop or interpret experiments concerning simulation. Algorithms in simulation allow expert systems to reason concerning models that are complex and change overtime or are inclusive of stochastic elements. Artificial intelligence targets to accord computers the ability to think like human beings. Simulation and modeling are very important in the development of pro-type in new product development and enacting real market situation to counter competition (Gura & Percy, 2005). A model is a representation of some kind of aspect of the real world and normally a simulation is the application or use of that model. Simulation and modeling are used to make predictions and decisions examination in relation to real situations. There is availability of different types of models applied during simulation including mathematics models, computer models and physical models. For instance a monopoly game makes use of physical models of money, houses and streets to simulate selling and buying of real estate. Models are developed to test the accuracy of theories. The role of three different technologies in Artificial Intelligence, Simulation and Modelling Object-orientation and agent-based system Many of the advancement in technology experienced for the past three decades have been initiated from the M & S field. Objects being code modules with both behavior and structure were first introduced in the SIMULA simulation language. These objects eventually blossomed in a variety of direction and were institutionalized in the prevalently adopted programming language known as C++ and later the infrastructure was developed into Java form and its variant. The liberty from straight-line procedural programming that was championed for object-orientation was taken up in Artificial Intelligence in two directions which included autonomy and various forms of knowledge representation. In their state that is passive, rules represent static discrete pieces of inferential logic known as declarative knowledge (Kim, 2005). Systems that are frame-based further expanded representation of knowledge flexibility and capability of inference by supporting constraints and slots on their values-the specific frames-together with their taxonomies formed basing on specialization/generalization relationships. The modular nature of objects alongside with their interaction and behavior with other objects, added to the concept of agents with embodied increased self-determination and autonomy Kim (2005) points out that agents are software pieces which are designed to search in the data bases for data that is relevant. They make use of neural works to search efficiently for huge amounts of data. The agents are normally independent and are able to be launched into a system in a computer or network to enable background operation. The common use or application of these agents is usually on the internet, such as a news agent or email agent (Lin& Huang, 2011). An email agent is able to screen an incoming email of a user for those needing immediate attention. News agent is specifically trained to scan articles in a news service and consequently deliver a personal bulletin based on the preferences of the user. The target of agents is to carry out a task faster and more effectively as compared to human. Demons are kind of programs that spring to life in the occasions that they are relevant, in the same way knowledge springs into someone’s head when it is appropriate. Demons are vital features in the artificial intelligence as they permit computer to be self-modifying. This can be interpreted that computers are able to teach themselves by experience. Neural networks A neural network is a kind of computer system that operates like the human brain and it has the ability to learn. It constitutes a huge number of nodes or processor form of a network and is able to act in a similar way as cells in normal brain. According to Gura and Percy, (2005) a neural network looks for relationship existing between sets of data to develop an understanding of the pre-existing situation. In demonstration by researchers earlier, a neural network was trained to read aloud. The neural network learnt to do this task by being shown examples in thousands. The neural networks act efficiently at finding a link between a result and the data. They are being used by insurers in making decisions about potential customer is a good risk, financial firms for economic forecasting, marketers to predict which product to be sold, investment companies to make predictions, and manufacturers to predict how much material is needed. Although neural networks have been in many occasions been very successful, their application still proves to be limited. A majority of the neural network constitute of a few thousand nodes as opposed to close to 100 billion in the brain of a human being. Due to this fact, neural networks in many circumstances will take a very long time to train; the recognition of visual images needs the processing of huge amounts of data. Neural networks are still in the developmental stages and billions are still being spent on research. In the education setting this kind of technology has been useful with coming up with simulation in a bid to demonstrate the real situation inn the natural or real world when giving examples in class for students to understand (Lin& Huang, 2011). Intelligent systems Intelligent systems are kind of systems which receive data from the environment, react accordingly to that kind of data, and produce a response that is intelligent. Intelligent systems are not in a position to use natural language as compared to human beings that use them. Natural language is a means through which knowledge is shared in human beings. It is not easy for a computer to learn natural language with the ease of human beings. The major hindrance is syntax which are the rules that govern the way in which the words are arranged, and understanding the context in order to determine the word meaning. For a computer to be learning a language or interpret phrases that are simple there must be large amounts of knowledge. Processing of natural language is applied or used in many applications; nevertheless, the results have to be verified by the user. The word processor has grammar checkers, spell checkers, and some auto-correct features that identify and simultaneously correct spelling errors that are likely to occur. Programs of voice recognition provide 96% accuracy and this applies even to continuous speech. Automatic translation types of programs have the ability to accurately convert data to another type of language. This entire application have been made possible or influenced by Artificial Intelligence research. The advancement of natural language is a major challenge that faces artificial intelligence. It needs more advanced information technology development to reach a solution that is satisfactory in the future. In the education system these kinds of application have been very useful when it comes to developing writing skills where spelling and grammar checker exist. Teaching aids have been developed and extended to the classroom to make learning easier and efficient. Security in the educational setting has also been beefed up as a result of these expert and intelligent systems. How the integration of current technologies might inform the educative experience of the students Technology is altering the nature of learning making the educative experience of the student better. The three types of human learning that include procedural knowledge, motivational engagement and factual knowledge; reveal that human expertise is able to integrate all the three types of learning. Technology has enhanced the ability to both encourage the three types of learning and to study. Technology has led to empowering of students in for key areas that comprise of participatory learning, multimodal learning, authentic learning and democratization. According to Lin and Huang (2011).The integration of current technologies might inform the educative experience of the students since through this it is possible to tell how exposed or familiar a student is with certain current issues besides advance in the technology. The coming of global communications that are low-cost has occasioned mass collaboration in economic, social, and political realms and this has been extended to the classroom. Integration of technology will demonstrate the grasp of the students as far as global economic issues are concerned. Students and teachers are able to use tools such as wikis and blogs for authentic and participatory learning in the global issues context. Sophisticated media that combines both texts and visuals supports multimodal learning although it has some challenges as far as assisting learners in the understanding and interpretation of multimedia messages (Zobrist & Leonard, 2007). The educative experience of the student can be determined or demonstrated with the ease at which he handles the integrated current technologies in his or her learning. Multimedia learning has been anticipated by the students in the 21st century in their learning. The need to use the given type of technology and the speed of operation will indicate the educative experience of the students. The student whose educative experience is high is not at all afraid of technology. The students multitask; think in a way that is less linearly that some people who are above thirty years of age. In many circumstances the students will enjoy fantasy as merely an element of their lives; they hardly tolerate passive activities, and utilize the technology tools to stay connected with one another. Being connected is a vital sign for multitasking as opposed to being productive (Lopes, Lau & Mariano, 2009). According to Lopes, Lau and Mariano (2009), the quick way in which ideas become freely available, the desire to access information expediently and the instantaneous manner of switching from one source to another can derail learning in some way. Educative experience of the students can be informed in many ways where current integration of technologies is being done. Engagement of online gaming enhances navigational reasoning, strategic reasoning, and hand-eye coordination. Established research has however warned that people may be killing their deep-reading skills due to the fact that they spend minimal time reading long-term literature passages. Multitasking enable the youth to be in a position to cope with vast amount of information that may come their way. The educative experience of the students can be shown by how fast he respond to the ethnological issues that may be posed in his way; a student who is more experience will be aggressive and equally quick to respond to such issues (Lin& Huang, 2011). Technology has been used all along to enhance educational experience in different learning environments including the institutions of higher learning. The development in technology has been prompted with quest to increase the capacity of solving human need. Educators have engaged in activities that have resulted in technologies that solve problems in the education realm such as bulkiness of information and the laborious procedure of accessing information. Technology can not be developed for the sake of advancement only, there must be needs that must be reached out or catered for with the development. Integration of these technologies will automatically make the experience of the students better. Conclusion This assignment has sought to explain the application of three technologies namely; neural network, intelligence system and, Object-orientation and agent-based system in artificial intelligence, simulation and modeling. It went on to explain the application of the technologies in the education setting. Finally the way current technologies can inform the educative experience of a student has been explained. References Lopes, S.L, Lau, N. & Mariano, P. (2009). Progress in Artificial Intelligence: 14th Portuguese Conference on Artificial Intelligence. New Mexico: Springer. Kim, G.T. (2005). Artificial intelligence and simulation: 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems. New Mexico: Springer. Lin, S. & Huang, X. (2011). Advanced Research on Computer Education, Simulation and Modeling: International Conference. New Mexico: Springer. Zobrist, G.W. & Leonard, J.V. (2007). Progress in simulation. London: Intellect Books. Gura, M. & Percy, B. (2005). Recapturing technology for education: keeping tomorrow in today's classrooms. Karnal, Haryana: R&L Education. Read More