Research paper on artificial intelligence pdf

Engineering Utopia. The Complete Problem Solver. USA: Routledge. Probability Theory: The Logic of Science. Edited by G. Larry Bretthorst. New York: Cambridge University Press. Oxford: Oxford University Press. USA: Penguin. Edgework: The Sociology of Risk-Taking. The Society of Mind. UK: Cambridge University Press. Amsterdam: IOS Press. Artificial Intelligence: A Modern Approach.

New Jersey: Pearson. Norvig, J. Canny, J. Prentice Hall: Upper Saddle River. Economics for the Common Good. Roboethics: A Navigating Overview.

Berlin: Springer. Edited by Nick Bostrom and Milan M. Ahmad A. Al-Hajji, Fatimah M. AlSuhaibani and Nouf S. We developed declarative, online procedural rule-based expert system models for psychological diseases diagnosis and classification. The constructed system exploited computer as an intelligent and deductive tool. This system diagnoses and treats more than four types of psychiatric diseases, i. The system helps psychology practitioner and doctors to diagnose the condition of a patient efficiently and in short time.

It is also very useful for the patients who cannot go to a doctor because they cannot afford the cast, or they do not have a psychological clinic in their area, or they are ashamed of discussing their situation with a doctor. The system consists of program codes that make a logic decision to classify the problem of the patient.

The methodology for developing the declarative model was based on the backward chaining, also called goal-driven reasoning, where knowledge is represented by a set of IF-THEN production rules. The user of the system will enter the symptoms of the patients through the user interface and the program executes. Then the program links the symptoms to the pre-programmed psychological diseases, and will classify the disease and recommend treatment.

Hole, Vijay S. Press Interview. Clin Psychiatry News. Sreekantha, T. Girish and Dr. Center for Research Dissemination and Liaison, Jones and Bartlett Publishers, Inc. Davis and Jon A. Thus, even a minor problem can affect the whole organism.

Hence, researchers are diverting a lot of data analysis work for assisting the doctors to predict the heart problem. So, an analysis of the data related to different health problems and its functioning can help in predicting with a certain probability for the wellness of this organ. In this paper we have analysed the different prescribed data of patients from different parts of India.

Using this data, we have built a model which gets trained using this data and tries to predict whether a new out-of-sample data has a probability of having any heart attack or not. This model can help in the decision making along with the doctor to treat the patient well and creating a transparency between the doctor and the patient.

Patient radiation biological risk in computed tomography angiography procedure. Saudi Journal of Biological Sciences. Abbott, and William B. IEEE, Springer, Berlin, Heidelberg, Bote, and Shruti D.

Enhanced Res. Eng 2. John, and K. International Conference on. In this context, application subject of APLACO constitutes evaluation of investment potential of different cities in metropolitan status in Turkey. The secondary purpose of the study is to identify the independent variables affecting the factories in the operating phase and to estimate the effect levels of independent variables on the dependent variable in the organized industrial zones OIZs , whose mission is to reduce regional development disparities and to mobilize local production dynamics.

For this purpose, the effect levels of independent variables on dependent variables have been determined using the multilayer perceptron MLP method, which has a wide use in artificial neural networks ANNs.

Although APLOCO is used to solve the ranking problem in order to show application process in the paper, it can be employed easily in the solution of classification and selection problems. On the other hand, the study also shows a rare example of the nested usage of APLOCO which is one of the methods of operation research as well as MLP used in determination of weights. Critical review of multi-criteria decision aid methods in conceptual design phases: application to the development of a solar collector structure.

Procedia CIRP 21, pp. Coles, Kerry Kirwan. Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecological Indicators, Technological and Economic Development of Economy, Review on multi-criteria decision analysis aid in sustainable energy decision-making.

Renew Sust Energ Rev, Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation. Multi-criteria analysis: a manual. Multiple criteria decision-making techniques and their applications - a review of the literature from to Linkov, A. Varghese, S. Jamil, T. Seager, G. Kiker, T. Access Date: August 11, Date: August 28, Factors affecting entrepreneurial management in Bangladesh: an empirical analysis.

Problems and Perspectives in Management, 14 3 Journal of Management Economics and Business, 9 19 Aminul Islam, Thiyada Keawchana. Asian Social Science, 7 5 The effectiveness of the tax incentives on foreign direct investments.

Journal of Public Administration, Finance and Law. A Research Project, pp. Factors affecting entrepreneurial intention levels: a role for education. Entrep Manag J. Journal of Academic Inquiries, 3 1 European Journal of Business and Management, 8 12 Furkan Sen.

Konya, Turkey. Research Report, pp. Massachusetts Institute of Technology. Doctorate Thesis. Neural Networks and Statistical Models. Enter the email address you signed up with and we'll email you a reset link. Need an account? Click here to sign up. Download Free PDF. Research Paper on Artificial Intelligence. Pooja Agarwal. A short summary of this paper. Dronacharya College of Engg. Gurgaon, Haryana 1. Artificial intelligence includes game playing, expert systems, neural networks, natural language, and robotics.

Currently, no computers exhibit full artificial intelligence that is, are able to simulate human behavior. The greatest advances have occurred in the field of games playing. The best computer chess programs are now capable of beating humans. Today, the hottest area of artificial intelligence is neural networks, which are proving successful in a number of disciplines such as voice recognition and natural-language processing.

There are several programming languages that are known as AI languages because they are used almost exclusively for AI applications. Artificial intelligence is working a lot in decreasing human effort but with less growth. It is that branch of and cybernetics, inspired a small group of computer science that studies and develops researchers to begin to seriously think the intelligent machines and software.

The field was founded on the claim that a central property of humans, intelligence — the sapience of - Homo sapiens — can be so precisely described that it can be simulated by a machine. This raises The first operational AI programs were written in philosophical issues about the nature of the mind to run on the Ferranti Mark I machine of the and the ethics of creating artificial beings, issues University of Manchester UK : a draughts-playing which have been addressed by myth, fiction and program written by Christopher Strachey and a philosophy since antiquity.

There are an enormous representation and inference in medical diagnosis number of tools used in AI, including versions of and therapy in what is at times called the first expert search and mathematical optimization, logic, system.

By the Mythology. Intelligent artifacts appear in market for AI had reached over a billion dollars. At journalism since then, with real mechanical the same time, Japan's fifth generation computer devices actually indicating behavior with some project stimulated the U.

S and British governments degree of intelligence. After modern computers to return grant for academic research in the field. Turing's theory of calculation greatest successes, albeit rather behind the scenes. The success was due assumption. By meaning, new assurance by researchers to hard mathematical genetic programming is a innovative algorithm- methods and exact scientific standards. A good expert system is not very anxious with the study of various kinds of objects.

It useful if not it has an useful interface. It has to be is a set of concepts that are formally represented able to confirm the directions in a form that the user within an area. It should interpret the answers, formed by association between the concepts in their exact the system. Ontology can also be used to cause about entity within a exacting area and explain the 5.

It makes these accessible to the Epistemology concerns itself with the study of the inference engine in a form that it can use. The information that can show helpful in the study of particulars may be in a form of background in order the solving of the harms that disease the world. The rules include both the Epistemology, has managed to cut for itself a place manufacture rules that concern to the area of in artificial engineering.

As a branch of artificial expert system and the heuristic and rules-of-thumb intelligence however, epistemology focuses on that are provided by the area expert in order to make answering four center questions: What is the system find solutions. How is information acquired? What do people know? How do we know what we know?

Heuristics, usually and solve exact problems. A few of the most general of these methods are discussed below. These algorithms can be visualized Many problems in AI can be solved in theory by as blind hill climbing: we begin the search at a intelligently searching through many possible random point on the landscape, and then, by jumps solutions that is reasoning can be reduced to or steps, we keep moving our guess uphill, until we performing a search.

For example, logical proof can reach the top. For example, they may begin application of an inference rule. Planning with a population of organisms the guesses and algorithms search through trees of goals and sub then allow them to mutate and goals, attempting to find a path to a target goal, a recombine, selecting only the fittest to survive each process called means-ends analysis. Robotics generation refining the guesses. Simple 7. The solution, for many problems, is to problems as well.

Several different forms of logic use "heuristics" or "rules of thumb" that eliminate are used in AI Research. Propositional or choices that are unlikely to lead to the goal called sentential logic is the logic of statements which can "pruning the search tree".

Heuristics supply the be true or false. Fuzzy logic is a version Methods of First-order logic which allows the truth of a statement to be represented as a value between 0 The simplest AI applications can be divided into And 1, rather than simply true 1 or false 0. Controllers do and have been widely used in modern industrial and however also classify conditions before inferring consumer product control Systems.

Subjective actions, and therefore classification forms a central logic models uncertainty in a different and more part of many AI systems. Classifiers are functions explicit manner than Fuzzy logic. They can be tuned according to examples, circumscription are forms of logic designed to help making them very attractive for use in AI. These with Default reasoning and the qualification examples are known as observations or patterns. In problem. Several extensions of logic have been supervised learning, each pattern belongs to a designed to handle specific domains of information, certain predefined class.

A class can be seen as a such as description logics, situation calculus, event decision that has to be made.