...accountants. This is where AIS or Accounting Information Systems come in, this practice was originally handled “in house” by most businesses, but as technology changed and businesses became more web based, software packages from developers such as Microsoft and Oracle are sold to assist businesses with their accounting needs. AIS was developed for the collection, storage, and processing of financial and accounting data. In most organizations A.I.S. are made up of interrelated components that interact to achieve a common goal. Throughout this paper we will look at the history of AIS, why the A.I.S. is important to corporate America, and what future developments are necessary to move ahead with the system History of the AIS In order to understand Accounting Information Systems better it is important to break down what the term really means and why it is so important in modern day accounting. The development of AIS dates all the way back to Babylon, in the year 3600BCE, this is when the oldest known record of any business occurred. It is believed that AIS were used in many other countries before making it’s way to the U.S. Countries such as Greece, China, and Rome are all believed to have used this system during trade activities. A.I.S. were first comprised of someone jotting down notes with a pencil and paper and now years later it has developed into extensive software programs that take human error out of the equation. The emergence of the AIS discipline has arisen from...
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...grasp of the AI that invented this virtual world. The AI of the virtual world have programs that are in essence guardians or firewalls to stop the humans from leaving the virtual world. If a human dies inside the virtual world then they die in the real world as well, do to the neural stimuli that are connected to their brains shutting down their entire system. There are those that are saved from the virtual world and are able to as they call it “jack-in” to the virtual world. To those that are aware and can jack-in it is like a deadly game of cat and mouse as they try to save the other humans from the AI that is keeping them unknowingly hostage. For if they die in the virtual world even knowing about it they will still die in the real world. While they are jack-in they are able to do things that the ordinary person in the virtual world can’t do like jump from one building to another without thinking about it or in the case of the main character “Neo” in the end he is able to manipulate the computer system to do his will and becomes like a virtual version of Superman able to fly and rewrite parts of the programming of the virtual world. A. Counter culture. A counter culture is a subgroup that is in opposition to most aspects of the larger, mainstream culture. The culture in Matrix would be considered the AI controlled virtual world where everyone is living their lives as they would normally. Those that can jack-in go around trying to find a way to stop the AI from controlling...
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...Introduction to AI Outline • • • • Course overview What is AI? A brief history State of the Art Course overview • • • • • • • • • • • • • Intro to AI (chapter 1) Intelligent agents (chapter 2) Goal based agents and uninformed search(chapter 3.1-3.4) Informed Search : A* (chapter 3.5-3.6) Beyond classical search (chapter 4) Adversarial search alpha-beta pruning (chapter 5) Constraint satisfaction problem (chapter 6) Midterm 1 (chapter 1, 2, 3,4,5,6) Logical agents and propositional logic (chapter 7) First-order logic (chapter 8) Inference in first order logic (chapter 9) Midterm 2 (chapter 7, 8, 9) Quantifying uncertainty (chapter 13) Probabilistic reasoning using Bayes net (chapter 14) Probabilistic reasoning over time (chapter 15) Where is AI in Computer Science? Computer science : problem solving using computers • Computer Architecture and Operating System study how to build good computers. • Computation and Complexity Theory study what can be computed, what cannot be computed, i.e., the limits of different computing devices. • Programming Languages study how to use computers conveniently and efficiently. • Algorithms and Data Structures study how to solve popular computation problems efficiently. • Artificial Intelligence is relevant to any intellectual tasks, e.g., playing chess, proving mathematical theorems, writing poetry, driving a car on a crowded street, diagnosing diseases What is AI? A scientific...
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...related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Intelligence is basically the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.There is no solid definition of intelligence relating it to human intelligence. The problem is that it cannot yet be characterize in general what kinds of computational procedures can be called intelligent. We understand some of the mechanisms of intelligence and not others. Sometimes Artificial Intelligence is about simulating human intelligence but not always.On the one hand, we can learn something about how to make machines solve problems by observing other people or just by observing our own methods. On the other hand, most work in AI involves studying the problems the world presents to intelligence rather than studying people or animals. AI textbooks define the field as "the study and design of intelligent agents where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy who coined the term in 1956,defines it as "the science and engineering of making intelligent machines." 2.HISTORY Although the computer provided the technology necessary for AI, it was not until the early 1950's that the link between human intelligence and machines...
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...show potential in many areas of expertise such as legal work and medicine. Artificial intelligence (AI) as explained by Semmler and Rose is “the process of simulating human intelligence through machine processes” (Semmler). There are many kinds of AI that do different things, but the main attribute of all AI is the ability to learn from specific data and use what they learn to perform a task. Some simple AI can improve the chance to find diseases in blood by keeping good records, while others can do the work of first-year associates at a law firm (Nunez). There are now countless AIs and with them starting to become widespread the ethics of having powerful AI is now being studied. The study of AI is widespread and unregulated in many countries which has created an opportunity for questionable AI to appear. This has caused an issue of ethics to appear and be studied. Researchers of AI such as Sean Semmler and Zeeve Rose look into the effect AI has...
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..."Ok Google" people are trusting AI, like Siri and Google Now, with their day to day decisions like what is relevant news or what way to drive somewhere. As AI's applications get bigger and bigger, for example, autonomous cars and medical decision support systems, should we really trust their decisions? There are also many benefits to AI, such as increased productivity, and reduced dangers. All in all, AI can be helpful or hurtful. AI can be dangerous, In the movie iRobot the character Del Spooner “was in a car accident and a robot decided to save him and not a young girl because he had a higher chance to survive” (IMDB), this is disturbing because in our society we have always believed to save women and children first. Sure the robot could have been programmed to have the same beliefs, but it is impossible to hard code all of society's beliefs like that. Therefore, AI needs to make it’s own decisions. The different methods of which were discussed at...
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...I DEVELOPMENT OF AN ACCOUNTING INFORMATION SYSTEM FOR INTERNATIONAL MARKET ENTRIES Taking the accounting information system of Milkiland Intermarket as a base of research PROJECT THESIS Faculty of Business Field of Study: International Business Cooperative State University Baden-Wuerttemberg Mannheim Handed in by: Vladyslava Zhurenkova Address: Plumstruk 3, 23617 Obernwohlde Course: WIB-bi 13BI Student ID-Number: 8658655 Academic Tutor: Prof. Dr. Thomas Schuster Supervising Tutor at Milkiland Volodymyr Gontar Intermarket: Corresponding Company: Milkiland Intermarket Kyiv, Ukraine, 10th September 2014 II CONFIDENTIALITY STATEMENT The Project thesis on hand “Development of an accounting information system for international market entries Taking the Accounting information system of the Milkiland Intermarket as a base of research” Contains internal resp. confidential data of Milkiland Intermarket. It is strictly forbidden, To distribute the content of this paper (including data, figures, tables, charts etc.) as a whole or in extracts, To make copies or transcripts of this paper or of parts of it, To display this paper or make it available in digital, electronic virtual form. Exceptional cases may be considered through permission granted in written form by the author and the Milkiland Intermarket. Kyiv, Ukraine, 10th September 2014 ___________________ Signature III ABSTRACT This paper is focused on...
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...intelligence or AI. Four researchers have explored this idea, they have brought four hypotheses on the table on how this would happen and how to prevent it from happening. The authors Stuart Russel, Sabine Hauert, Russ Altman, and Manuela Veloso of the article Ethics of Artificial intelligence give ideas that are very intriguing and worth taking a more critical look at the rhetorical devices they use in their article. In a nutshell on Ward and Vander Lei text there are seven main rhetorical devices, they are purpose, point, author, audience, organization, and research and evidence this essay will look at the article Ethics of artificial intelligence in this light....
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...2013 Ai Weiwei Ai Weiwei is an internationally celebrated Chinese artist whose voice is heard loudly through his art. He believes in freedom of expression and despises the Chinese Government’s power. Ai’s contemporary style comes in many forms; Sculpture, architecture, installation, film and photography, are only some of his great talents; his art exposes the very real hardships of the Chinese people and how their culture has been muted over time. The government has become such a major influence and has gained so much power that at one point they convinced the people to destroy their cultural reminders in hopes that they will leave behind an insignificant past. Ai Weiwei was born the 18 of May 1957 to father Ai Qing and mother Gao Ying. Ai Qing was well known throughout China for his very forward poetry. Qing would later be considered a liberal who spoke out by joining a very left wing Artist Association and in doing so he was subsequently arrested in the early 1930’s, this decision cost he and his family to be sentenced to live in a labor camp. For the first eighteen years of Ai Weiwei’s life was spent in Xinjiang and later they would be removed to Gobi Desert (with even worse conditions) then back again to Xinjiang before being released in 1975. Life was very hard for the family during this long period of time. The year of 1975, brought with it great change for their entire Weiwei family, they were allowed to return home to Beijing and in the year of 1978, Ai Qing would...
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...first mention of anything remotely related in AI in history, then when actual progress was made, what that progress was and its stages, then the most popular artificial intelligence machines created, and finally ending on the discussion of the future of AI and the possibility of the singularity. Artificial Intelligence in Society Introduction Unbeknownst to me at the time my first experience with artificial intelligence was playing video games. I must have been at the ripe age of 5 already feverishly enjoying my Super Nintendo and Mario games. It never occurred to me the coding, algorithms, and all the hard work that was required to have the computer, my “opponent,” be challenging. My only assumption was it was always like that. It wasn’t until years later did I get the opportunity to see how artificial intelligence (AI) began. AI didn’t start so children could have fun; it started because some men had a dream, a dream to create artificial intelligent machine. The topics I will cover will be one of the first mentions of AI, the beginning of what we currently call AI, current AI systems that were used, and the future of what is to come. Ancient History The first mention of anything remotely related to AI involved imagination. It was in an ancient Greek myth by Homer, a poet. “He wrote of mechanical ‘tripods’ waiting on the gods at dinner.” (Buchanan 2005). This may not have any use to us now, but the fact we imagined what it would be like to have mechanical assistance...
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...paralyzing sense of hopelessness. And yet if we flip the coin, we have so much to be excited about. We are in the most dynamic and the most influential business of our times. We ought to be excited, motivated, and energized. We can be if we turn ourselves around and start looking at our jobs and ourselves differently. If we kill negative selftalk and celebrate our successes. If we dissect what we do right and apply the lessons to what we do wrong, we can solve our problems and re-energize the organization at the same time. In the long run what is likely to be more useful? Demoralizing a successful workforce by concentrating on their failures or helping them over their last few hurdles by building a bridge with their successes? Don’t get me wrong. I’m not advocating mindless happy talk. Appreciative Inquiry is a complex science designed to make things better. We can’t ignore problems, we just need to approach them from the other side. (Mohr & Watkins, 2001a, p. 7). —Statement by Thomas H. White, President, GTE Telephone Operations S 34 www.ispi.org • imply stated, appreciative inquiry (AI) is both a process and a...
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...Technology | ITS1101 S01 First off what is Artificial Intelligence? Artificial Intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. With that being said, now take a minute and try to imagine a machine or machines that can think on its own. As a child growing up, I liked watching cartoons such as Transformers, Gobots and Astro Boy. As I got older I enjoyed watching movies like I-Robot, Terminator, and Chappie. I always thought to myself how fun it would be to have robots that could think for themselves. Over the last several decades, AI computing methods for automated perception, learning, understanding, and reasoning have become common in our lives. We plan trips using GPS systems that rely on AI to cut through the complexity of millions of routes to find the best one to take. Our smartphones understand our speech, and Siri, Cortana, and Google Now are getting better at understanding our intentions. AI algorithms detect faces as we take pictures with our phones and recognize the faces of individual people when we post those pictures to Facebook. Internet search engines, such as Google and Bing, rely on a fabric of AI subsystems. On any day, AI provides hundreds of millions of people with search results, traffic predictions, and recommendations about books and movies. AI translates among languages in real...
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...pioneer, Alan Turing, from the 1950s declared that, “One day there would be a machine that could duplicate human intelligence in every way and prove it by passing a specialized test” (“Artificial Intelligence (AI)”). As a matter of fact, Alan Turing right now, is incorrect, artificial intelligence can...
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...Net 204-102 Artificial Intelligence and Grid Computing This paper is a look into how Artificial Intelligence (AI) can be used in a network environment with grid computing. I will briefly look into how AI works, grid computing and what you get when you put the two together. What is Artificial Intelligence and how does it work Artificial Intellegence is a branch of computer science that atemps to simulate intelligent behavior in computers, that is to say, to get a machine to imitate intelligent human behavior(Merriam-Webster) and with any luck ignore unintelligent human beahviour. AIs have to learn concepts of the things they observer or work with, they then store what they have learned, like any other software, as chunks of data. An AI is usually presented with a goal to achieve they accomplish this by exploiting the relationship between the data they acquired and the goal they are trying to achieve (wiseGEEK). To put it into a simpler concept; AI is broken down into an If, and Then type programing analogy.” If this happens Then do that”, pretty much like Basic Programing. But the If-Thens are attached to something not so simple, complex algorithms that are used to record what all the results of the Ifs and Thens are, so that the data can be accessed by the AI, then when the condition happens again it knows what to do. For a little better explanation of AI algorithms look at Google's cloud-based machine learning tools, they use learning algorithms to analyze data. A Google...
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... search "AI" redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines."[4] AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other.[5] 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. There are subfields which are focussed on the solution of specific problems, on one of several possible approaches, on the use of widely differing tools and towards the accomplishment of particular applications. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are...
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