Schools of Political Economy Marxism, Liberalism and Mercantilism

The international political economy deals with economics and politics, in the world matters. It seeks to understand the driving forces of the economy and the key actors in the world economy. Gilpin (265) asserts that politics largely determine economic activities. This paper looks at three schools of political economy; Marxism, liberalism and mercantilism, while identifying their similarities and differences.Advertising We will write a custom essay sample on Schools of Political Economy: Marxism, Liberalism and Mercantilism specifically for you for only $16.05 $11/page Learn More Marxists and Liberals on Politics and Economics Marxists assert that the world economy is characterized by competition. They believe in capitalism, and argue that economic relations are determined by class struggle between capitalists (oppressors) and the working class (oppressed). The capitalists own means of production, and are rich. Capitalists embark on increasing their prof its by exploiting the working class, who in turn enhance their struggle in the competition (Gilpin 270). They use their wealth to set the standards of the political economy. Eventually, the non-capitalists submit to their order. Liberals believe in existence of a free market. Their emphasis is on free trade and movement of capital, which allow flow of investment. In this class of economy, countries are able to exploit natural resources and benefit from specialization. The economy is enhanced by availability of currencies that can be freely exchanged as well as open markets. Marxists and liberals assume that the state is a significant instrument in the world economy. It exists to resolve conflicts that occur in the world economy. They oppose the managerial conception of a state. The two also agree that a free market is advantageous, as long as there is an invisible hand (policies) to control the market. Marxists, Mercantilists and Liberals The mercantilists believe in a competitive e conomy whereby there are many actors in the market. The strong states are able to survive in competitive markets, whereas the weak ones are pushed out of the competitive markets. According to the mercantilists, it is a scenario of â€Å"survival for the fittest.† The states with the most power are the ones that set the rules as well as limits to the economy. This is done through ways such as alliances and hegemony. In this competition; states endeavor to maximize their wealth, as well as independence. This is achieved through the creation of self-sufficiency in key industries, and protecting trade through tariffs and quota systems. There is minimal order in such an economy, and it is upon the governments to enhance smooth operations in the markets (Gilpin 275). They should come up with strong economic policies to enhance these operations. It is worth noting that corruption and ignorance lead to poor economic policies. Marxists and mercantilists agree that the world economy is competitive.Advertising Looking for essay on political sciences? Let's see if we can help you! Get your first paper with 15% OFF Learn More They also look at the aim of this competition as a desire to have profits. Furthermore, there are groups which benefit more than others, in this competition. However, liberals do not look at the economy as a competition realm. They look at it as a free arena whereby everyone can participate in the economy. Principle Actors of Political Economy The principal actors in the mercantilist school are the states. They compete to eliminate others and the strong states survive in this competition. In the Marxism, the core actors are the classes (capitalists and workers) as well as the social groups (Gilpin 280). Governments and economic actors are the key elements in the economy, according to liberalism. The governments provide favorable policies for free trade. Marxists and mercantilist theorists believe that competition is significant fo r a robust world economy. On the contrary, liberal theorists view free trade as the best characteristics of international economic interactions. In essence, there are various actors in the political economy and different schools of thought in the world economy. A country should follow a school that best suits its economy so as to survive in the competitive global arena. Works Cited Gilpin, Robert. Global Political Economy: Understanding the International Economic Order. Princeton: Princeton University Press, 2011.Print. This essay on Schools of Political Economy: Marxism, Liberalism and Mercantilism was written and submitted by user M0rl0cks to help you with your own studies. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly. You can donate your paper here.

Essay Sample Music- The Key to Creating the Perfect Songs For Films

Essay Sample Music- The Key to Creating the Perfect Songs For FilmsMusic and movie composition is one of the most complicated parts of film making, it is also very special to hear a song performed by a top artist in a film. Music is used as an instrument or a backdrop for the character in the film, which gives it a huge impact. The audience of the film tends to be more interested in a song, especially when it has been performed by a renowned musician.When it comes to Film Music Essay Sample, you can take your pick from any of the hundreds of outstanding composers who are admired all over the world. You might not like everything that they did, but if you like them, you will have a hard time saying no. This is one reason why composing a song for a film can be such a difficult task. But the composer has to come up with something unique that will not only portray the personality of the character of the film, but also highlight the mood of the film.There are many composers in the Film Com posers Association who have become known in Essay Sample from Hollywood, they have a very good reputation and are quite well known around the world. The main role of a composer is to make sure that the right song is chosen for the film. While composing a song for a film, you have to look for inspiration from the music of the previous films. Most often a song is selected just based on the title. This is where the importance of researching and matching music with the genre of the film begins.The Essay Sample is composed to be recorded and is often chosen as the music for a particular film. In order to get the music correctly, the director usually conducts a review session where he gets to hear the sample and gets a feel of what the final track should sound like. These sessions could last for hours, but there is no doubt that a great deal of input goes into choosing the right song. You may not like the song, but a composer knows how to avoid the kind of criticism that might arise becau se of some improper choices.It would help a lot if you chose the right song for the film. It has to be catchy and in sync with the theme of the film. But it is also important to note that the title of the song should make sense and also give a hint about the kind of mood that the song should create.It is essential that you understand that the more time you spend in conducting your research, the better your essay sample will turn out. Doing research yourself could be expensive, so why not take help from experts. There are many online courses that offer the written course to provide you with a list of top music essay samples. These can be bought or downloaded and can be learned on your own, even if you do not know much about music.There are also many music essay samples available in books and video and on the internet. These are very helpful for composing a song, but you still need to check that the song is actually written by a famous composer. Not every composer is going to provide you with the kind of essay sample that you really need. So it is important to do your research first and pick the best track that has all the right elements to produce a song that will have the desired impact.As mentioned earlier, when composing the music for a film, you can get the essay sample by searching from one of the essay sample websites, which are usually filled with hundreds of excellent samples. You can also browse through music essays of past great films. Keep in mind that not all the samples are created equal and that can make a difference between a masterpiece and just another dud.

Second Conjugation Italian Verbs - Conjugating Italian Ere Verbs

Second Conjugation Italian Verbs - Conjugating Italian Ere Verbs The infinitives of all regular verbs in Italian end in –are, –ere, or –ire and are referred to as first, second, or third conjugation verbs, respectively. In English the infinitive (linfinito) consists of to verb. amare to love  Ã‚  Ã‚  temere to fear  Ã‚  Ã‚  sentire to hear Verbs with infinitives ending in –ere are called second conjugation, or –ere, verbs. The present tense of a regular –ere verb is formed by dropping the infinitive ending –ere and adding the appropriate endings to the resulting stem. There is a different ending for each person. Characteristics of the Second Conjugation The  «passato remoto » (historical past) of the second conjugation verbs has two diverse forms of the first and third person singular and third person plural:io temetti/temeiegli temette/temà ©essi temettero/temeronoio vendetti/vendeiegli vendette/vendà ©essi vendettero/venderonoNote! In standard usage the forms –etti, –ette, and –ettero are preferred. The majority of verbs whose root ends in t though, such as battere, potere, and riflettere, take the endings –ei, –à © and –erono.battereio batteiegli battà ©essi batteronopotereio poteiegli potà ©essi poteronoriflettereio rifletteiegli riflettà ©essi rifletteronoThe verbs fare and dire are considered second conjugation verbs (because they are derived from two third conjugation Latin verbs- facere and dicere) as well as all verbs ending in –arre (trarre), –orre (porre), and –urre (tradurre).Verbs ending in –cere (vincere), –gere (scorgere), or â€⠀œscere (conoscere) have a particular phonetic rule. C, g, and sc of the root maintains the soft sound of the infinitive before the declinations that start with e or i. They take the hard sound before the declinations that begin with a or o: vinceretu vinciche egli vincaspargeretu spargiche egli spargaconosceretu conosciche egli conoscaconosciutocresceretu cresciche egli crescacresciutoMany irregular verbs ending in –cere (piacere, dispiace, giacere, nuocere, tacere) maintain the soft sound by inserting an i before declinations that begin with a or o; if the verb has a regular past participle ending in –uto, an i is also added:nuocereio nuocciotu nuociessi nuocciononuociutopiacereio piacciotu piaciessi piaccionopiaciutogiacereio giacciotu giaciessi giaccionogiaciutoVerbs ending in –gnere are regular and maintain the i of the declinations iamo (indicative and present subjunctive) and iate (present subjunctive):spegnerenoi spegniamoche voi spegniateVerbs ending in –iere drop the i of the root before declinations that start with i:compieretu compinoi compiamo

11 Funny Quotes About the Good Ol School Days

11 Funny Quotes About the Good Ol School Days Whats the best part of school life? Some would vouch for the great education, the great learning experience, the knowledge sharing, and other such scholarly pursuits. But many would admit that the best part of school life is all the fun one has. These funny school quotes will take you on a trip down memory lane. Share them with your school buddies and renew old ties. Funny School Quotes Beatrix PotterThank goodness I was never sent to school; it would have rubbed off some of the originality.William GlasserThere are only two places in the world where time takes precedence over the job to be done: school and prison.Jeff FoxworthyI have never been jealous. Not even when my dad finished fifth grade a year before I did.Will RogersThere is nothing so stupid as the educated man if you get him off the thing he was educated in.Heinrich HeineIf the Romans had been obliged to learn Latin, they would never have found time to conquer the world.Mark TwainIn the first place, God made idiots; that was for practice; then he made school boards.Woody AllenI was thrown out of college for cheating on the metaphysics exam: I looked into the soul of another boy.Will DurantEducation is a progressive discovery of your own ignorance.Albert EinsteinIt is a miracle that curiosity survives formal education.Norm CrosbyMy school was so tough the school newspaper had an obituary section.B. F. Skin nerEducation is what survives when what has been learned has been forgotten.

Toyota Production System Article Example | Topics and Well Written Essays - 750 words

Toyota Production System - Article Example In a company that produces iron sheets, just in time can be applied by placing orders for raw material such that the materials ordered for arrive at the company in the right quantity just when it is needed and without any delays. Muda refers to waste or anything that adds no value to the system. Muda exists in the form of motion, correction, processing, waiting time, conveyance, overproduction, and inventory. In a company that manufactures iron sheet, one example of muda is raw material that has been established to be substandard in quality and therefore needs to be reworked. Yokoten implies horizontal deployment; good practices and results in one area or organization are copied or applied to other areas or organizations. One franchise of Coca Cola company can decide to send a team of its employees to a more efficient franchise in a different country so that the team observes and learns how things are done to ensure high efficiency and productivity. The team will learn and implement what they have learnt doing what they can to improve on the ideas in their organization. Pokayoke involves the use of fool proof devices during production. Through the use of fool proof devices, the production of defective parts that result from human error is minimized or altogether eliminated. In a manufacturing plant, the buttons in the control panel of a machine can be color coded and associated with drawings that show what the buttons make the machines do. This way, even an untrained operator has less chances of pressing the wrong button that may lead to the production of faulty parts. Hoshin involves capturing and cementing strategic goals as developed by executive managers so that they are realized eventually. The organization’s level of performances is set to improve with the passage of time as the strategic goals are realized. In a soda manufacturing company, top management may develop strategic goals relating to the production of a given quantity of soda crates.

Catholicism Essay Example | Topics and Well Written Essays - 1250 words

Catholicism - Essay Example The rise of Catholicism began gaining roots especially in the 16th Century when the protestant reformation started contravening the spirit and the beliefs of the common Christian doctrine that was in existence. Catholicism remains a strong force in the world today but its influence has been tremendously reduced. The history of Catholicism relates with the influential Roman Empire. During this time, the system of leadership was one that integrated both secular and church leadership together; the Pope was seen as a very important political and religious figure. Through his research Dr Paul Coulter established that the Roman emperor leadership was influenced by the conversion of its leaders, for example Emperor Constantine converted to Christianity in 312, he went ahead to legalize Christianity in the empire. Around 590, Gregory the Great became Pope at a time when the Roman Empire had collapsed and the clergy were very active in leadership all across Western Europe. Gregory emphasized on the role of Pope as a universal leader by using biblical interpretations, by then the bible was exclusively in the hands of the Pope. The spirit of Catholicism grew by far and wide and spread across Europe. Martin Luther who was an Augustinian monk around 1517 read the scripture and presented his interpretations to a door of Wittenberg cathedral thereby sparking a revolution that resulted to the Protestant Reformation (Coulter 4). The doctrine behind Catholicism is founded on the Bible, a holy book that is revered for its historical as well as current view. Historically, the Catholic Pope the only person who had a chance to interact with the Bible and deliver its teachings to the masses, this made the church very influential to the daily lives of people at that time. The Pope was able to challenge every authority but he could not be challenged by anybody himself. Galileo Galilei had to persuade the church authorities that the heliocentrism theory he had developed was not against the bible, this was after the Pope disputed the theory claiming it was unbiblical. To date the Bible remains a supreme doctrine among the Catholics, however its interpretation has brought some contention especially among scholars. Because of the interpretation, various factions of the Catholic Church have come up with divergent beliefs (Boettner 25). Recently, the issue of celibacy has been refuted by some catholic clergy who have gone ahead to marry despite the regulation by the church not to do so. It has emerged that celibacy has been based on the church traditions and not actually the teachings in the bible (Jones 14). The core teachings of the Catholic Church are diversified but remains to be the same; this is characterized by the conservatism that the church has tried to adopt over the ages. They believe in one universal true church, a conviction that is constantly recited in the apostle’s creed that is part of the belief in the church. The Pope is a very supreme author ity according to Catholicism; he represents the church as the ‘Vicar of Christ’, a continuation of the leadership of Peter, the apostle in the early church. The decisions by the church leadership are highly regarded and are used as a benchmark for ethics and spirituality. The tradition of the church outstands and is used as the

Artificial Intelligence Essay

Artificial Intelligence Essay This paper is the introduction to Artificial intelligence (AI). Artificial intelligence is exhibited by artificial entity, a system is generally assumed to be a computer. AI systems are now in routine use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games like computer chess and other video games. We tried to explain the brief ideas of AI and its application to various fields. It cleared the concept of computational and conventional categories. It includes various advanced systems such as Neural Network, Fuzzy Systems and Evolutionary computation. AI is used in typical problems such as Pattern recognition, Natural language processing and more. This system is working throughout the world as an artificial brain. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should be considered somewhat intelligent. It is related to the similar task of using computers to understand human intelligence. 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 researchers are free to use methods that are not observed in people or that involve much more computing than people can do. We discussed conditions for considering a machine to be intelligent. We argued that if the machine could successfully pretend to be human to a knowledgeable observer then you certainly should consider it intelligent. INTRODUCTION :- Artificial intelligence (AI) :- Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer. Although AI has a strong science fiction connotation, it forms a vital branch of computer science, dealing with intelligent behaviour, learning and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, it has become a scientific discipline, focused on providing solutions to real life problems. AI systems are now in routine use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games like computer chess and other video games. History :- The intellectual roots of AI, and the concept of intelligent machines, may be found in Greek mythology. Intelligent artifacts appear in literature since then, with real mechanical devices actually demonstrating behaviour with some degree of intelligence. After modern computers became available following World War-II, it has become possible to create programs that perform difficult intellectual tasks. 1950 1960:- The first working AI programs were written in 1951 to run on the Ferranti Mark I machine of the University of Manchester (UK): a draughts-playing program written by Christopher Strachey and a chess-playing program written by Dietrich Prinz. 1960 1970 :- During the 1960s and 1970s Marvin Minsky and Seymour Papert publish Perceptrons, demonstrating limits of simple neural nets and Alain Colmerauer developed the Prolog computer language. Ted Shortliffe demonstrated the power of rule-based systems for knowledge representation and inference in medical diagnosis and therapy in what is sometimes called the first expert system. Hans Moravec developed the first computer-controlled vehicle to autonomously negotiate cluttered obstacle courses. 1980s ONWARDS :- In the 1980s, neural networks became widely used with the back propagation algorithm, first described by Paul John Werbos in 1974. The 1990s marked major achievements in many areas of AI and demonstrations of various applications. Most notably Deep Blue, a chess-playing computer, beat Garry Kasparov in a famous six-game match in 1997. Categories of AI :- AI divides roughly into two schools of thought: Conventional AI. Computational Intelligence (CI). Conventional AI :- Conventional AI mostly involves methods now classified as machine learning, characterized by formalism and statistical analysis. This is also known as symbolic AI, logical AI, neat AI and Good Old Fashioned Artificial Intelligence (GOFAI). Methods include: Expert systems: apply reasoning capabilities to reach a conclusion. An expert system can process large amounts of known information and provide conclusions based on them. Case based reasoning Bayesian networks Behavior based AI: a modular method of building AI systems by hand. Computational Intelligence (CI) :- Computational Intelligence involves iterative development or learning (e.g. parameter tuning e.g. in connectionist systems). Learning is based on empirical data and is associated with non-symbolic AI, scruffy AI and soft computing. Methods include: Neural networks: systems with very strong pattern recognition capabilities. Fuzzy systems: techniques for reasoning under uncertainty, has been widely used in modern industrial and consumer product control systems. Evolutionary computation: applies biologically inspired concepts such as populations, mutation and survival of the fittest to generate increasingly better solutions to the problem. These methods most notably divide into evolutionary algorithms (e.g. genetic algorithms) and swarm intelligence (e.g. ant algorithms). Typical problems to which AI methods are applied :- Pattern recognition Optical character recognition Handwriting recognition Speech recognition Face recognition Natural language processing, Translation and Chatter bots Non-linear control and Robotics Computer vision, Virtual reality and Image processing Game theory and Strategic planning Other fields in which AI methods are implemented :- Automation. Cybernetics. Hybrid intelligent system. Intelligent agent. Intelligent control. Automated reasoning. Data mining. Behavior-based robotics. Cognitive robotics. Developmental robotics. Evolutionary robotics. Chatbot. Knowledge Representation. American Association for Artificial Intelligence (AAAI) :- Founded in 1979, the American Association for Artificial Intelligence (AAAI) is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions. APPLICATIONS OF AI :- Game Playing :- You can buy machines that can play master level chess for a few hundred dollars. There is some AI in them, but they play well against people mainly through brute force computationlooking at hundreds of thousands of positions. Speech Recognition :- In the 1990s, computer speech recognition reached a practical level for limited purposes. Thus United Airlines has replaced its keyboard tree for flight information by a system using speech recognition of flight numbers and city names. It is quite convenient. On the other hand, while it is possible to instruct some computers using speech, most users have gone back to the keyboard and the mouse as still more convenient. Understanding Natural Language :- Just getting a sequence of words into a computer is not enough. Parsing sentences is not enough either. The computer has to be provided with an understanding of the domain the text is about, and this is presently possible only for very limited domains. Computer Vision :- The world is composed of three-dimensional objects, but the inputs to the human eye and computers TV cameras are two dimensional. Some useful programs can work solely in two dimensions, but full computer vision requires partial three-dimensional information that is not just a set of two-dimensional views. At present there are only limited ways of representing three-dimensional information directly, and they are not as good as what humans evidently use. Expert Systems :- A knowledge engineer interviews experts in a certain domain and tries to embody their knowledge in a computer program for carrying out some task. How well this works depends on whether the intellectual mechanisms required for the task are within the present state of AI. One of the first expert systems was MYCIN in 1974, which diagnosed bacterial infections of the blood and suggested treatments. It did better than medical students or practicing doctors, provided its limitations were observed. Heuristic Classification :- One of the most feasible kinds of expert system given the present knowledge of AI is to put some information in one of a fixed set of categories using several sources of information. An example is advising whether to accept a proposed credit card purchase. Information is available about the owner of the credit card, his record of payment and also about the item he is buying and about the establishment from which he is buying it (e.g., about whether there have been previous credit card frauds at this establishment). Conclusion :- We conclude that if the machine could successfully pretend to be human to a knowledgeable observer then you certainly should consider it intelligent. AI systems are now in routine use in various field such as economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games etc. AI is an exciting and rewarding discipline. AI is branch of computer science that is concerned with the automation of intelligent behavior. The revised definition of AI is AI is the study of mechanisms underlying intelligent behavior through the construction and evaluation of artifacts that attempt to enact those mechanisms. So it is concluded that it work as an artificial human brain which have an unbelievable artificial thinking power. Programs with Common Sense :- John McCarthy, In Mechanization of Thought Processes, Proceedings of the Symposium of the National Physics Laboratory, 1959. Artificial Intelligence, Logic and Formalizing Common Sense :- Richmond Thomason, editor, Philosophical Logic and Artificial Intelligence. Klà ¼ver Academic, 1989. Concepts of Logical AI :- Tom Mitchell. Machine Learning. McGraw-Hill, 1997. Logic and artificial intelligence :- Richmond Thomason. In Edward  N. Zalta, editor, The Stanford Encyclopedia of Philosophy. Fall 2003. http://plato.stanford.edu/archives/fall2003/entries/logic-ai/. LINKS :- http://www.aaai.org/ http://www-formal.stanford.edu/ http://insight.zdnet.co.uk/hardware/emergingtech/ http://www.genetic-programming.com/