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Recommended: Importance of logic
ROLE OF LOGIC IN ARTIFICIAL INTELLIGENCE
Shreya Chaturvedi 2014A7PS147P Nishant Khosla 2014A8PS356P
Introduction to Logic Logic is the study of the methods and principles used to distinguish correct and incorrect resoning.It is a tool to develop reasonable conclusions based on a given set of data. Logic is free of emotion and deals very specifically with information in its purest form. It is a branch of philosophy that features extensively in Mathematics and Computer Science. The basic reasoning behind logic maybe inductive reasoning, abductive reasoning or deductive reasoning.
Types of Logic:
● Informal Logic:
It is used in everyday reasoning and argument analysis.It is the study of natural language arguments.It is further
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● Formal Logic:
The study of formal Logic dates back to the works of Aristotle. It is a study of logical inference. Traditional Aristotelian Logic and Modern Symbolic Logic are some examples of Formal Logic Systems.
● Symbolic Logic:
It is the study of symbolic abstractions that capture the formal features of logical inference.It sets up an “artificial” languade to avois the dificulties of of vagueness, equivocation, amphiboly, and confusion from emotive significance.It id devided into two branches : propositional logic and predicate logic. ● Mathematical Logic:
Mathematical logic is a subfield of mathematics exploring the applications of formal logic to mathematics.The unifying themes in mathematical logic include the study of the expressive power of formal systems and the deductive power of formal proof systems. It is often divided into the fields of set theory
, model theory
, recursion theory
,
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It is a general purpose logic programming language which is associated with AI and computational linguistics.Prolog has its roots in first order logic(a formal logic), and it is decelerative: the program logic is expressed in terms of relations, represented as facts and rules. A computation is initiated by running a query over these relations.
Competitor to LISP for AI programming in 80’s. Logic As An Analytical Tool:
Newell explicitly states that:”
Role of logic [is] as a tool for the analysis of knowledge,not for reasoning by intelligent agents. ” Conclusion
Throughout its relatively short history, AI has been heavily influenced by logical ideas. AI has drawn on many research methodologies: the value and relative importance of logical formalisms is questioned by some leading practitioners, and has been debated in the literature from time to time.But most members of the AI community would agree that logic has an important role to play in at least some central areas of AI research, and an influential minority considers logic to be the most important factor in enabling strategic, fundamental
Mill, J. S. (2000). System of Logic Ratiocinative and Inductive. London: Longmans, Green, and Co.
The Chinese room argument certainly shows a distinction between a human mind and strong AI. However, it seems that the depths of human understanding can also be a weakness to how it compares to strong AI and the way that knowledge and understanding is derived.
One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the imitation game, since it is basically a game in which a computer imitates a conversating human. In an analysis of the Turing Test I will focus on its features, its historical background and the evaluation of its validity and importance.
The official foundations for "artificial intelligence" were set forth by A. M. Turing, in his 1950 paper "Computing Machinery and Intelligence" wherein he also coined the term and made predictions about the field. He claimed that by 1960, a computer would be able to formulate and prove complex mathematical theorems, write music and poetry, become world chess champion, and pass his test of artificial intelligences. In his test, a computer is required to carry on a compelling conversation with humans, fooling them into believing they are speaking with another human. All of his predictions require a computer to think and reason in the same manner as a human. Despite 50 years of effort, only the chess championship has come true. By refocusing artificial intelligence research to a more humanlike, cognitive model, the field will create machines that are truly intelligent, capable of meet Turing's goals. Currently, the only "intelligent" programs and computers are not really intelligent at all, but rather they are clever applications of different algorithms lacking expandability and versatility. The human intellect has only been used in limited ways in the artificial intelligence field, however it is the ideal model upon which to base research. Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI.
Soldiers sown from dragon teeth, golden robots built by Hephaestus, and three-legged tables that could move under their own power - the Greeks were the first to cross the divide between machine and human. Although the history of Artificial Intelligence (AI) began with these myths and speculations, it is becoming a part of everyday life. How did it evolve so quickly, and what are its implications for the future?
It is necessary to look at the development of artificial intelligence in order to put this idea into context. The concept of intelligent and aware constructs began to emerge in the 1950s and 60s as several scientists in many fields came together to discuss the possibilities of advanced computer research. The first major step was a scientific conference at Dartmouth College in 1956. Here, the general concepts and possible paths of research for a.i. were fleshed out. As described in Artificial Intelligence: A Modern Approach, this conference was “the birth of artificial intelligence.” This was mostly a theoretical stage yet attending experts predicted that with a huge investment, working technology could be available in a generation (16). After being officially established, a.i. research and discovery exploded. Computer programs, a brand new idea, were already conquering algebra problems and speech recognition. Some could even reproduce English (18). It was clear that artificial intelligence research was going to be at the fo...
The concepts of the development of artificial intelligence can be traced as far back as ancient Greece. Even something as small as the abacus has in someway led to the idea of artificial intelligence. However, one of the biggest breakthroughs in the area of AI is when computers were invented.
The field of artificial intelligence was created in 1955 by a group of researchers who wanted to “make machines use language, form abstractions and concepts, solve the kinds of problems now reserved for humans, and improve themselves” (Khatchadourian 71). During this time, people aspired for, not feared, a future with civilizations made of intelligent robots. Today, critics of artificial intelligence seem to fear it for the eventual higher than human level of intelligence that its creators planned for it to ultimately possess all along. Herbert Simon, a computer scientist involved in the original project, recognized that humans would need to maintain control over the machines they created in case the machines became self-aware, but he was
Atomic sentences have truth-values that evaluate the application of a concept to an object that is being referred. To find what the sentence refers to, the referent of the predicate must be applied to the referent of the subject. Connectives are vocabulary like “and”, “if”, and “not” that are functions from truth-values to truth tables. Each of these provide the basis for Frege’s language system such that we are able to speaking in our ordinary language, but still maintain the mathematical connection he attempts to establish early. Frege’s use of language and sentences being functions with variables is consistent with how he defines the basic constructs of what are needed in a human language.
The logic used to explain miracles of everyday life, thinking logically helps man to question the functioning of everything around us, the logic used to argue and is somehow a thought an idea that influences us for an action we do in our daily lives.
In order to see how artificial intelligence plays a role on today’s society, I believe it is important to dispel any misconceptions about what artificial intelligence is. Artificial intelligence has been defined many different ways, but the commonality between all of them is that artificial intelligence theory and development of computer systems that are able to perform tasks that would normally require a human intelligence such as decision making, visual recognition, or speech recognition. However, human intelligence is a very ambiguous term. I believe there are three main attributes an artificial intelligence system has that makes it representative of human intelligence (Source 1). The first is problem solving, the ability to look ahead several steps in the decision making process and being able to choose the best solution (Source 1). The second is the representation of knowledge (Source 1). While knowledge is usually gained through experience or education, intelligent agents could very well possibly have a different form of knowledge. Access to the internet, the la...
Artificial Intelligence is the scientific theory to advance the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. This is going to hold the key in the future. It has always fa...
Artificial intelligence is a concept that has been around for many years. The ancient Greeks had tales of robots, and the Chinese and Egyptian engineers made automations. However, the idea of actually trying to create a machine to perform useful reasoning could have begun with Ramon Llull in 1300 CE. After this came Gottfried Leibniz with his Calculus ratiocinator who extended the idea of the calculating machine. It was made to execute operations on ideas rather than numbers. The study of mathematical logic brought the world to Alan Turing’s theory of computation. In that, Alan stated that a machine, by changing between symbols such as “0” and “1” would be able to imitate any possible act of mathematical
Artificial Intelligence “is the ability of a human-made machine to emulate or simulate human methods for the deductive and inductive acquisition and application of knowledge and reason” (Bock, 182). The early years of artificial intelligence were seen through robots as they exemplified the advances and potential, while today AI has been integrated society through technology. The beginning of the thought of artificial intelligence happened concurrently with the rise of computers and the dotcom boom. For many, the utilization of computers in the world was the most advanced role they could ever see machines taking. However, life has drastically changed from the 1950s. This essay will explore the history of artificial intelligence, discuss the
Somebody who studies mathematical logic and gives his or her own concepts about it is called a logician. Some well known logicians include Boole and Frege. They were trying to give a definite form to what formal deduction really was. Aristotle had already done such a thing but he had done it with language, Boole wanted to do it with only Symbols. Frege came up with “Predicate Calculus”.