Progress in Artificial Intelligence Technique - Myassignmenthelp.Com

Question: Discuss about the Progress in Artificial Intelligence Technique. Answer: Introduction Background The current globalized society has been facing tremendous change in the information technology and the internet. In this context, human interaction has been transformed by an implementation of artificial intelligence. The cognitive interfaces help in providing new platforms for interaction between machine and humans. These contain graphical user interfaces (GUIs) navigation system including hypertext and option selection buttons and menus (Michalski, Carbonell and Mitchell 2013). The Ubiquitous Computing focuses on effective human interaction with technological components including artificial intelligence. Chatterbot conversation includes an exchange of texts and languages including dealing with ambiguous situations context-based messages. However, chatterbots are used in various fields including entertaining others by making coherent conversation (Nilsson 2014). A machine learns from the algorithm feeder input for working. However, these algorithms cannot hold and understand of data concept. Therefore, a large amount of data and information cannot be input in the algorithm. This has created self-fulfilling strategies for communication among the robots. The literature review will present the concept of AIML and its different functionality. The use of pattern recognition techniques helps in creating the language for communicating with each other. This paper will focus on the development of the language for robots in order to perform chatting with other bots. This research will use a proper methodology for proceeding in the research. The use of Artificial Intelligence in this process will be researched in this study. The concept of the artificial intelligence in the South Africa will be discussed. The impact of the robots and other chatterbots on the economic, legal and business perspective in the country will be discussed. Rationale Modern information technology has been focusing on the artificial intelligence in the 21st century. However, the change in the methodology of the technology in the worked has allowed transforming various algorithms in the IT sector (Cohen and Feigenbaum 2014). The exponential growth of IT in the market has been focusing on the concept of the Artificial Intelligence. Robotics and other chatterbots have been created to decrease the human work. There has been a peaceful transition in the democratic of South Africa in 1994. The lack of education in the primary and secondary level have a major cause for obtaining the low score in the education sector. According to OECD 2008 review of national policies in South Africa (Navigli and Ponzetto 2012). However, 15% to 18% of school students are qualifying the school exams per year. Therefore, the literacy rate of the country has been continuously increasing (Hovy, Navigli and Ponzetto 2013). However, this rate is slower than other countries in t he world. The use of the technology in the studies have been less in the country. Therefore, students are not able to maintain the technical knowledge of the school. This has been created the problem in the literacy rate of the country. However, robotics has been provided in the country for the students, Robotic technology is being studied in the schools and colleges of the country. According to a survey, there has been a massive change in an enhancement of technical knowledge from 4% to 7% (Brodie, Mylopoulos and Schmidt 2012). As commented by Yang and Xu (2013), This total rose to around 1.5 million in 2014 and is projected to increase to about 1.9 million in 2017.5 Japan has the largest number with 306,700, followed by North America (237,400), China (182,300), South Korea (175,600), and Germany (175,200) (Geraci 2012). Overall, robotics is expected to rise from a $15 billion sector now to $67 billion by 2025. According to RBC Global Asset Management study, the cost of automation and robots have been falling down frequently. This has led to the increase in the development of robots all over the word (Brady, Gerhardt and Davidson 2012). Therefore, there is a risk of the robots start communication with each other by creating own language. However, increase in use of robots in the replace have increased the unemployment of human being in companies. Robots are replacing the human work in an efficient way. This research has focused on identifying the issues faced due to self-communication by the robots by creating their own language. The factors that are affecting the work pressure if the workplace in an organization is also mentioned. The language required for preparing algorithm has been discussed in the report. Problem Statement The primary problem discussed in the study will be the own communication of robots by developing language. Reports have identified various challenges are faced due to this problem. Therefore, this study will help in identifying challenges due to this approach of robots and other chatterbots. These have created the problem in maintenance of robots in the laboratory due to own communication of robots. Research Aim, Objectives and questions The aim of the research is to analyze language for communication between robots and other bots. The objectives of a research study are provided below: To analyze the basic concepts of robotics and artificial intelligence To understand the language created by robots for mutual communication To identify the challenges imposed due to communication of robots with each other in their own language To recommend strategies for mitigating these challenges in the robots Following are the research questions for the research: What are the basic concepts of robotics and artificial intelligence? How are the robots communicating with each other by creating own language? What are the challenges faced due to communication among robots by creating their own language? What can be done to mitigate these challenges related to communication among robots by creating own language? Significance of research This research study will focus on the concepts of artificial intelligence and its benefits and challenges in the industry. The concept of communicating of robots with each other by creating own language will be discussed in the research. The study aims at understanding various concepts of communication among each other by developing own language. Therefore, this framework might create challenges for the researchers in the field. These challenges will be identified in this study. The problem of own communication of robots will be depicted in the study. Summary This chapter has discussed the basic scenario of the artificial intelligence in the market in the context of South Africa. The aim of the research has been initiated in this chapter. The objectives and research questions have been provided in the chapter that helps in proceeding with the study. Literature Review Concept of Artificial Intelligence As commented by Yampolskiy (2013), artificial intelligence focuses on the work processes of machines requiring intelligence performed by humans. Therefore, artificial intelligence refers to investigating intelligent problem-solving behaviour by developing computer systems. However. This technology has been mostly in use by the researchers in the lab. The use of technology has been an important aspect in the development of new devices and artefacts. The Centre for Artificial Intelligence Research (CAIR) is a group initiative of Statistics, Computer Science and School of mathematics unit for industrial growth in the market (Kanal and Kumar 2012). The current focus of the institute is to promote a concept of artificial intelligence and knowledge of computer engineering among individuals in the society. CAIR is mainly working on the development of artificial intelligence in the market. The computational models of human thought processes have helped in communicating with the artefacts. Ho wever, Nolfi, Bongard, Husbands and Floreano (2013) commented that artificial intelligence is an implementation of human thoughts on the computer. The use of artificial intelligence has helped in maintaining a keen relationship with machines and human beings. Chatterbots and pattern recognition As commented by Ginsberg (2012), various tests have been done to acknowledge between human and machine. Modern technology has created various clones similar to the human beings. These b0ts can perform all works similar to the human beings including daily routine work. These bots are efficient to perform daily duties including washing, cooking, caring and other duties of the human being. Therefore, Turing test has been performed on these machines for distinguishing between them. Therefore, this test is recognized as a chatterbot itself. Frankish and Ramsey (2014) defined chatter bot as a program that helps in stimulating typed conversation for aiming at least fooling human beings temporarily during the conversation with another person. Chatterbots can be classified in the form of techniques that are used in the development of various devices. For example, during the 90's, the second-generation chatterbots were built and the Artificial Intelligence (AI) techniques were applied, such as Artificial Neural Networks in conjunction with NLP techniques (Ingrand and Ghallab 2014). JULIA chatterbot is an example of a second-generation chatterbot developed by Michael Mauldin in 1994 (Deisenroth, Neumann and Peters 2013). However, the development of the third-generation uses the Pattern Recognition Techniques. The motivation for using the AIML language has been dining in the pattern recognition system (Kober and Peters 2012). The features of the AIML language implemented in developing chatter bot include ease of implementation of AIML language based on markup language for making easy use of dialogues written in the code. Various computational systems help developers in developing chatterbots for web deployment user access. However, a high level of recycling process has been done in the chatterbots projects for developing open source software license. Pattern Recognition for Chatter bots modelling Various theories and models are used for the development of chatterbots include Pattern recognition, that aims at modelling computing system which is based on human dialogues. The use of AIML languages helps in providing different chatter bits that can adopt pattern recognition technique. Zang et al. (2015) commented that ALICE was the first chatterbot that was developed by using AIML language. It has three operations including performing word processing actions for fitting input by a user, the pattern is matched between input provided by user and input provided by a designer (Szegedy et al. 2017). Therefore, the pattern recognition system has been installed in the chatterbots that help in recognizing different patterns in the daily life. It helps in providing various work in the daily life including road crossing and walking. The patterns are matched with the database of the robot and accordingly, it works. Big data and artificial intelligence have been maintaining a bi-directional relationship with each other. As commented by Tirgul and Naik (2016), Artificial intelligence requires machine learning, which requires a large amount of data. A protocol will be developed for communicating among the robots. Each robot will send the request to another robot for initiating communication. In the presence of another homogeneous robot, it accepts the request and starts communicating with each other. The robots will send their personal information for connecting with other robots (Bostrom and Yudkowsky 2014). The other robots will acknowledge it by sending a message to the sender robot. Therefore, this will create a connection between them to initiate communication. In this process, the header part of the message is stored in the robot that helps in acknowledging back about the received message. However, some messag e is not delivered to the receiver robot that creates the problem in communicating with the robot (Bongard 2013). The IR radiation will be used in order to maintain the communication among robots. Robots will transmit same infrared rays in case of either correct or incorrect messages received. Therefore, it becomes difficult of differentiating the signals transmitted from robot (Pfeifer, Lungarella and Iida 2012). The first phase will be IR transmission. IR transmitter will be attached in each of the robots that might help in transmitting IR rays for initiating communication. The use of the AIML language has helped in developing chatter bits and robots. The IR receiver will receive the infrared rays coming from another robot. After receiving infrared rays, it will match with the data and information resent in the database (Pedrycz 2012). In the case that the data matches with the database, the communication process will start between robots. In the case, data does not matches; the robot will compare the received data with stored data in the database. If it matches with another homogenous robot, the communication starts otherwise it fails. Advantages of robots The development of the robotics technology has been facilitated in various applications in the market. Robots have helped in maintaining different work in the market. The use of the robots has been circulated in various fields including machinery, IT sector and construction sector. The use of the robots has been incread4sed in the market (Ingrand and Ghallab 2014). This technology has decreased the human work pressure in various industries. The use of robots has been facilitated in order to increase production in the industries. Increased efficiency As commented by Brambilla et al. (2013), industrial robots are capable of completing heavy tasks in the industry work environment better than human employee completes. However, robots are capable of performing tasks with higher accuracy level than human beings. This has significantly drawn the attention of organizations for developing robots rather hire a human employee (Bennett and Hauser 2013). Robots are capable of increasing production of industries with a high speed. The work rate of the robot re faster than that of the human being. Higher quality Robots are able to provide the higher quality task to the company. The error rate of the robots is negligible in comparison to that of human work. Robots help in minimizing the human error rate in the industry (Springer 2013). The use of robots produces high-quality products with respect to their standard quality. It also minimizes the time required for completing a task. Longer working hours A human employee has to take breaks for getting rest from work. This creates the distraction from their work and their pace of work minimizes. However, in the case of robots, it can work for 24/7 with 100 % efficiency, therefore, this help in increasing the efficiency and production in the industry. Robots do not take any holiday or having unexpected off for sick (Elkady and Sobh 2012). Increased profitability Robots are capable of increasing the production in an industry. Therefore, this increases the sales of the company and profitability. The supply of the products for customers has been increased that have helped in increasing the sales of the company. Robots help in increasing the profitability of the company in the market. Issues faced due to communication among robots by creating their own language There are various problems faced by different companies due to AI chatter bots developing own language in order to communicate with each other. This problem has been faced by several companies all over the world including Facebook. Several times AI chatterbot of Facebook has been automatically responding to the client within any input data. Therefore, chatter bits are capable of creating their own language might be using AIML language. The use of the AIML language has been creating interest in developing chatterbots. As argued by (), AIML language has made easy for chatter buts to create their own language for self-communication. Big data and artificial intelligence have been maintaining a bi-directional relationship with each other. Artificial intelligence requires machine learning, which requires a large amount of data. The motivation for using the AIML language has been dining in the pattern recognition system. The use of the robotic technology in the organization have decreed the employee of the human labours. The employment if the human being is being replaced by the robots and chatter bits, Therefore, the unemployment ratio if the country has been increasing with the time. Robots are able to provide work in the fashioned way that includes minimal errors with respect to that of human workers. Different artificial intelligence techniques have failed in maintaining big data process. The prediction based on an artificial intelligence algorithm has been created in order to maintain a machined logic behind expressible terms of human beings (Michalski, Carbonell and Mitchell 2013). A machine learns from the algorithm feeder input for working. However, these algorithms cannot hold and understand of data concept. Therefore, a large amount of data and information cannot be input in the algorithm. This has created self-fulfilling strategies for communication among the robots. As argued by (), machine learning can be used for processing big data by using DPA. Therefore, an analysis is done in order to enhance machine learning for processing their own algorithm for self-communication. However, the use of algorithms by robots create risks for the researcher by communication with their own. This might lead to losing in control of the robots and chatterbots. The features of the AIML lan guage implemented in developing chatter bot include ease of implementation of AIML language based on markup language for making easy use of dialogues written in the code (Michalski, Carbonell and Mitchell 2013). The use of robots is done in a various organization in order to minimize the human work in the working place. Summary This can be summarized that the use of the AIML language is required in developing chatterbots. A basic concept of artificial intelligence has been provided in the chapter. The benefits and limitations of the robots in the industry have been depicted in the chapter. The issues due to communication among robots by creating own language have been provided. Methodology Introduction The research has followed a proper methodology in order to complete the project. The design of the research has been based on the technical background of the robotics technology. This chapter discusses the main methodological concept that will be used in this research. The steps to be followed for conducting the research are listed in this chapter. The research methodology helps in maintaining a proper path for following in the research. Research methodology includes philosophy, approach, design, data collection method, limitations and ethical consideration. Some theories and models related to the artificial interference have been taken for the data collection process. Research methodology has helped in maintaining the Research philosophy Research philosophy helps in providing dimension and knowledge of the research. It provides concepts and facts in order to conduct the research. In addition, the proper steps that will be considered while conducting this research will be adopted from this philosophy section of the paper. Three types of philosophy are positivism, interpretivism and realism. Post-positivism philosophy deals with cross-checking specific data for the research. The philosophy focuses on the previous study of the research and the findings (Nolfi, Bongard, Husbands and Floreano 2013). Interpretivism philosophy helps in providing the complex structure of the research. Interpretivism deals with the interpretative study of the research topic. Lastly, the realism philosophy is utilized for considering the real-valued data. The artificial intelligence used in the robotics technology might help in maintaining the research methodology. Communication among the robots might be possible with the help of creating thei r own language. The authenticity of the human convictions and machine learning can be combined to create the positivist philosophy. It deals with the scientific approach towards the maintenance of the research methodology. This research will select positivism philosophy for completing the research. The research will be based on the theoretical and practical perspective. The selected philosophy will help in providing advanced thinking to the research. Positivism philosophy restricts the specialist's part in controlling or assessing the information that prompts minimisation of information errors also. The use of positivism philosophy also helps in connecting the various settings among the aspects which in turn leads to better analysis of the information such that the analysis regarding artificial intelligence can be made efficiently. Research Approach The approach, which is utilized for conducting the research, is termed as the research approach. This helps in providing a structural framework, which is to be followed for conducting the research on artificial intelligence or robotics. The two types of research approach are inductive and deductive approach. Deductive approach focuses on analyzing previous theories and models related to the research. As commented by Magilvy and Thomas, (2012), inductive research approach focus on producing new theories. However, the deductive approach helps in conducting research methodology in a proper manner. Inductive research approach of a study helps in contemplating enough information is not possible. The use of the inductive research approach might not be able to maintaining the reliability of the data and information collected for the research. This research will select deductive approach that help selecting particular methods for the research. The deductive approach helps in maintaining the existing theories and models and collect data from them. However, the deductive approach deals with the adequate knowledge of the research. The present study focuses on the artificial intelligence in order to create a language for a robot to communicate with themselves. The deductive approach will help in deducting all the information that will not be useful for the research. The different components if the robotic technology will be analyzed in the study. Research design The research design focuses on the strategy perceived in order to collect data and information from various sources. The use of research design ensures research problem and map the solution according to it. Informative exploration design helps in creating new theories and models for the collecting data and information related to the research topic including artificial intelligence. It helps in building a framework for proceeding in the research activity. The three types of research design are explanatory, exploratory and descriptive design (Toloie-Eshlaghy et al. 2011). Descriptive research design assists as an observational study that is helpful to find out specific characteristics of population as well as their effects on the variables. Exploratory design help s in recognizing several types of thoughts and considerations in order to finish research study. Similarly, the explanatory research design involves conducting a research while considering various parameters associated to the use of artificial intelligence by the robots in a detailed manner. The researcher has chosen descriptive research design that would be helpful to conduct the research. This research will select descriptive research design as it helps in conduction of the research with methods that are more descriptive by putting detailed information (Geraci 2012). The descriptive design help in providing a complete picture of the whole research methods used. Descriptive design helps in maintaining the longitudinal study of the artificial intelligence in the robotic technology. Data Collection Technique Data collection method is an important aspect for the research methodology. There are two types of data collection method including primary and secondary method. The data collection method helps in providing a proper method for the data collection process in the research. In this research, data and information will be collected from secondary sources including online journals, books, articles, reports and governmental databases. The use of the secondary method will help in providing data and information for the research. Primary data are collected from online survey. Ethical consideration The research will follow all the ethical values and norms in completing the research. The research will access all knowledge related to the robotic technology. Data and information for the research topic will be ethically accessed from online journals and books. The journals will be of published version and after year 2012. The online journals and books will be related to artificial intelligence and robotic technology (Geraci 2012). The access to the government databases has been done legally with proper permission. The results and outcomes of the research will not be published before the completion of the research. The research will follow the Data Protection Act 1998 in order to keep personal data and information secret from others. Research Limitations A research helps in providing proper results and knowledge related to the concerned topic. However, some limitations are faced by a research. In this case, the research will also face some difficulties in the data collection process. Online journals and books might not be available for the researcher. There might be some journals in paid version that cannot be purchased by the researcher due to lack of budget. The language of the journals and books might not be understood by the researcher that will create limitations for the research. Many journals will not be similar t the research topic. The researcher might have a time limitation due t the cross-sectional nature of the research. However, deep analysis of the research will not be done due to unavailability of time for research. Gant chart Milestones in the Research 1st Week 2nd Week 3rd Week 4thWeek 5thWeek 6thWeek 7thWeek Selection of the Topic Collection of Data from secondary sources Preparing the layout Review of Literature Developing plan for the research Selecting appropriate techniques for research Collection of Primary data Data Analysis Interpretation Findings and Discussion Conclusion to the study Preparing Rough Draft Completion of Final Work Figure 3: Gantt Chart (Source: Created by Author) References Bench-Capon, T.J., 2014.Knowledge representation: an approach to artificial intelligence(Vol. 32). Elsevier. Bennett, C.C. and Hauser, K., 2013. Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine,57(1), pp.9-19. Bongard, J.C., 2013. Evolutionary robotics.Communications of the ACM,56(8), pp.74-83. Bostrom, N. and Yudkowsky, E., 2014. 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