...\ The Chinese Room Argument The Chinese Room argument was developed by John Searle in the early 1980’s. The argument was designed to prove that strong artificial intelligence was not possible. While the argument itself is flawless, John Searle’s opinion that strong artificial intelligence is impossible is not. The Chinese room argument is really more of a thought provoking experiment. You are asked to imagine an English speaking man in a room, within this room there is nothing but tools to which he can translate Chinese symbols. The man in the room is passed these symbols through a slit on one side of the room, and using his tools he must translate them. Then, he passes the translations through the slit in the other side of the room, and to the people outside the room it looks like he understands Chinese. Searle’s argument is that just because it looks like the man understands the Chinese symbols, and has the tools to translate the Chinese Symbols, doesn’t mean he actually understands the symbols. Within this argument the man represents a computer. The symbols are given to the computer, the computers programming allows the computer to translate the symbols, and the computer gives an answer. At no point does this imply the computer understands the original information it was given. The computer was simply programmed to be able to function as such(Gams 231). Using words and substituting the word Computer for Strong Artificial Intelligence the argument would sound...
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...Brains, and Programs” by John Searle, he demonstrates that the idea of “synthetic machine” being able to think the same manner as the human does is erroneous. Searle uses his famous “Chinese Room” thought experiment as an example in his reasoning to establish his justification. Furthermore the experiment is proposed to disprove “philosophical position” that Searle called “strong AI (Artificial Intelligence).” Searle’s “thought experiment” starts with this theoretical proposition: assume that “artificial intelligence” has been successful in developing a computer that carries on as though it comprehends Chinese. It takes Chinese characters as data by following a guideline of a computer programs, generates other Chinese characters,...
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...Amanda Pollock 11-02-15 U57476929 When Artificial Intelligence Is Wrong When thinking about whether strong AI (artificial intelligence) as compatible source for understanding the way of thinking and let alone machines is practically irrelevant according to John R. Searle (Searle 372). In terms of thinking and the aspects of a machine is far more complex than that of an ordinary strong AI. Machines in general have a great deal more going on than just a symbol manipulation system such of that as a strong AI. Ultimately the strong AI would then be incapable of being able to help understand machines and the aspect of thinking. Furthermore, the definition of “machine” needs to be reiterated in a simpler term to help explain this issue....
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...Name Professor Course Date John Searle’s Chinese Room Argument When coming up with the ‘Chinese Room’ argument, John Searle was looking to establish whether or not machines can be termed as “intelligent” judging by the kind of accurate outputs they produce, given a specific kind of input. He specifically aimed at refuting the functionalism claim that, just like people, machines with the ability to run programs are presumed to have consciousness and a brain. In Searle’s argument, he creates a scenario where one is locked in a Chinese room without any knowledge of the Chinese dialect but is expected to answer questions in Chinese. As per his theory, an English-Chinese guide would allow one to answer the questions accurately but not understand the conversation. In relation to this, John Searle concludes that a computer has no ability to understand or achieve consciousness no matter how intelligent the underlying computer program might be. According to the argument, a human being with no knowledge of the Chinese language is locked in a room. He is issued a set of English guidelines that help him relate each set of Chinese symbols to another set. Basically, the rules are to guide the individual on how to use the Chinese characters to answer the questions brought forward. At the end of the process, the Chinese illiterate will be in a position to write down Chinese answers to the questions, which are also in Chinese. To those that posed the question, the individual will seem...
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...will argue why computers can’t have a mind. In order to prove my argument, I will focus on two reasons. First I’ll argue how computers are created and controlled by humans. Then I will explain why computers don’t have the ability to think on their own. These two arguments will demonstrate why computers aren't able to have a mind. First let me elaborate what I mean by computers being created and controlled by humans. Computers are created to perform one or multiple tasks that make human life easier. Humans initiate very complicated programs in modern computers that allows the machines to fulfill millions of different tasks. The key here is that humans program these computers to complete tasks, giving the hardware only one duty which is given only by the human. So am I saying that programming is what makes a computer? Well lets take a deeper look at programming. Programming is simply providing a computer with coded instructions for the automatic performance of a particular task. Lets take an example of how a program works in a computer. In a paper written by John R. Searle, Minds, Brains, And Programming, John talks about how he pretends to be a program in a computer. In this program he is locked in a room and is given the task of answering questions in Chinese symbols. John has never spoken, written or understood any Chinese before. Outside the room will be Chinese natives asking and receiving Johns answers. John is given a manual full of symbols and english instructions that...
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...In this essay I will argue that John Searle’s Chinese Room does not refute the possibility of strong AI. The thought experiment goes something like this: Imagine you are a monolingual English speaker in a room with boxes full of Chinese symbols, and a guide book that maps sequences of symbols to other sequences of symbols. You receive a piece of paper with symbols on it from outside the room, the input, and, using the guidebook, the program, arrange and pass different sets of symbols out of the room. Unbeknownst to you, the symbols you pass out, the output, are carrying on a fluent Chinese conversation with a person outside of the room. Strong AI is the position that a computer running a sufficiently advanced program could generate mental states that are identical to those generated by humans, that is, the AI would be conscious in the same way we are. Contrast this with weak AI, which merely mimics human behaviour, without the corresponding mental states. Searle maintains that any system that operates in a purely syntactic manner will never be intelligent in the same manner a human is,...
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...John Searle is an American philosopher born in 1932 and attended Oxford University. The Chinese room argument is Searle’s way of refuting the Strong A.I. thought that running an adequately complex program is sufficient for thinking by showing how running a computer program is not sufficient for the computer to be thinking. The argument goes that a person who has never seen the Chinese language in any form is sitting in a room sealed from the outside world. In the room, there is a basket full of Chinese symbols and a book that shows what symbols to put together when responding to a group of symbols on a piece of paper that has been slipped into the room by a Chinese speaker. The man in the room following the instructions can trick the Chinese...
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...As human beings we are biologically wired to live with intention. Part 1 Strong Artificial Intelligence says that a functioning computer can accurately represent the cognition of a human mind. (133) Meaning that the essence of computer programs are considered to be identical to those of mental states in the brain. (explain more AI claims) In “Minds, Brains and Programs”, John Searle is arguing against the claims supporting Strong Artificial Intelligence. The Chinese Room Experiment is used to explain the difference between understanding and the simulation of understanding. It goes as follows: Searle is sitting in a room and is given a box of Chinese letters in which he will interpret, using a set of english rules, to respond in a way...
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...Superintelligence Reflection There are many differences in this paper compared to my first draft. In my first paper I tended to overuse the same pronouns when referring to the author. I also did not compare and contrast the authors as well as I should have and did not supply any possible solutions to the problems the authors wrote about. In this draft I tried to do a better job of inserting quotes without using sentences starting with “this quote…” or “this quote highlights”. Also I gave my view on how we should approach singularity as my solution to the problems and uncertainties discussed in this paper. As a whole I believe this paper is way better than my first. The biggest thing I took away from this assignment is how vital technology has and will be in mankind’s existence today and continued survival. Also my researching skills have improved after the continued practice I had throughout this assignment. Superintelligence A Superintelligence is “any intellect that vastly outperforms the best human brains in practically every field, including scientific creativity, general wisdom, and social skills”; however, this definition leaves open how the super intelligence is implemented – it could be in a digital computer, an ensemble of networked computers, cultured cortical tissue, or something else. The ethical issues surrounding the creation of these machines with general intellectual capabilities that far outstrip those of humans are very different and have far greater...
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...Journal of Information Technology (2008) 23, 55–62 & 2008 JIT Palgrave Macmillan Ltd. All rights reserved 0268-3962/08 $30.00 palgrave-journals.com/jit Debate and Perspectives ‘Computer models of the mind are invalid’ Ray Tallis1, Igor Aleksander2 1 5 Valley Road, Bramhall, Stockport, Cheshire, UK; Imperial College of Science, Tech. and Medicine, Department of Electrical and Electronic Engineering, London, UK 2 Correspondence: R Tallis, 5 Valley Road, Bramhall, Stockport, Cheshire SK7 2NH, UK. Tel: þ 44 7801 834230; E-Mail: raymond@rtallis.wanadoo.co.uk Journal of Information Technology (2008) 23, 55–62. doi:10.1057/palgrave.jit.2000128 Proposer: Professor Ray Tallis t is a great pleasure to have this joust with Igor who is not only a brilliant thinker about the mind, but also a great intellectual sparring partner. Igor has expressed his dissent from the view that I’m going to advance in support of the motion which is that ‘computer models of the mind are invalid’,1 in his book: The World in My Mind, My Mind In The World: Key Mechanisms of Consciousness in Humans, Animals and Machines. He actually devotes five pages of the final chapter to what he calls ‘Tallis’s complaint’ which I am now going to make public. The point of issue is whether computer models of the mind are valid. I am going to argue that they are not because the computational theory of mind is invalid. Igor may go on to argue that even if the computational theory of mind is invalid it may still be useful...
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...mTELECOURSE STUDY GUIDE FOR The Examined Life FOURTH EDITION author J. P. White Chair, Department of Philosophy Santa Barbara City College contributing author Manuel Velasquez Professor of Philosophy Santa Clara University This Telecourse Study Guide for The Examined Life is part of a collegelevel introduction to philosophy telecourse developed in conjunction with the video series The Examined Life, and the text Philosophy: A Text with Readings, tenth edition, by Manuel Velasquez, The Charles Dirksen Professor, Santa Clara University. The television series The Examined Life was designed and produced by INTELECOM Intelligent Telecommunications, Netherlands Educational Broadcasting Corporation (TELEAC/NOT), and Swedish Educational Broadcasting Company (UR) Copyright © 2007, 2005, 2002, 1999 by INTELECOM Intelligent Telecommunications All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without the written permission of INTELECOM Intelligent Telecommunications, 150 E. Colorado Blvd., Suite 300, Pasadena, California 91105-1937. ISBN: 0-495-10302-0 Contents Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v Lesson One — What is Philosophy? . . . . . . . . . . . . . . . . . . . . ....
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...NOTE: This PDF document has a handy set of “bookmarks” for it, which are accessible by pressing the Bookmarks tab on the left side of this window. ***************************************************** We are the last. The last generation to be unaugmented. The last generation to be intellectually alone. The last generation to be limited by our bodies. We are the first. The first generation to be augmented. The first generation to be intellectually together. The first generation to be limited only by our imaginations. We stand both before and after, balancing on the razor edge of the Event Horizon of the Singularity. That this sublime juxtapositional tautology has gone unnoticed until now is itself remarkable. We're so exquisitely privileged to be living in this time, to be born right on the precipice of the greatest paradigm shift in human history, the only thing that approaches the importance of that reality is finding like minds that realize the same, and being able to make some connection with them. If these books have influenced you the same way that they have us, we invite your contact at the email addresses listed below. Enjoy, Michael Beight, piman_314@yahoo.com Steven Reddell, cronyx@gmail.com Here are some new links that we’ve found interesting: KurzweilAI.net News articles, essays, and discussion on the latest topics in technology and accelerating intelligence. SingInst.org The Singularity Institute for Artificial Intelligence: think tank devoted to increasing...
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...Artificial intelligence From Wikipedia, the free encyclopedia Jump to: navigation, 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...
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...Harvard Journal of Law & Technology Volume 21, Number 2 Spring 2008 WHAT CAN INFORMATION TECHNOLOGY DO FOR LAW? Johnathan Jenkins∗ TABLE OF CONTENTS I. INTRODUCTION ..............................................................................589 II. INCENTIVES FOR BETTER INTEGRATION OF INFORMATION TECHNOLOGY AND LAW ............................................................591 III. THE CURRENT STATE OF INFORMATION TECHNOLOGY IN LEGAL PRACTICE .......................................................................594 IV. THE DIRECTION OF LEGAL INFORMATICS: CURRENT RESEARCH .................................................................................597 A. Advances in Argumentation Models and Outcome Prediction ..............................................................................597 B. Machine Learning and Knowledge Discovery from Databases ..............................................................................600 C. Accessible, Structured Knowledge ...........................................602 V. INFORMATION TECHNOLOGY AND THE LEGAL PROFESSION: BARRIERS TO PROGRESS ......................................604 VI. CONCLUSION ..............................................................................607 I. INTRODUCTION MUCH CURRENT LEGAL WORK IS EMBARRASSINGLY, ABSURDLY, WASTEFUL. AI-RELATED TECHNOLOGY OFFERS GREAT PROMISE TO 1 IMPROVE THAT SITUATION. Many professionals now rely on information technology (“IT”) to simplify, automate, or better...
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...An Introduction to Sociolinguistics AITA01 1 5/9/05, 4:36 PM Blackwell Textbooks in Linguistics The books included in this series provide comprehensive accounts of some of the most central and most rapidly developing areas of research in linguistics. Intended primarily for introductory and post-introductory students, they include exercises, discussion points, and suggestions for further reading. 1. Liliane Haegeman 2. 3. 4. 5. 6. 7. 8. 9. Andrew Spencer Helen Goodluck Ronald Wardhaugh Martin Atkinson Diane Blakemore Michael Kenstowicz Deborah Schiffrin John Clark and Colin Yallop 10. 11. 12. 13. Natsuko Tsujimura Robert D. Borsley Nigel Fabb Irene Heim and Angelika Kratzer 14. Liliane Haegeman and Jacqueline Guéron 15. Stephen Crain and Diane Lillo-Martin 16. Joan Bresnan 17. Barbara A. Fennell 18. Henry Rogers 19. Benjamin W. Fortson IV 20. AITA01 Liliane Haegeman 2 Introduction to Government and Binding Theory (Second Edition) Morphological Theory Language Acquisition Introduction to Sociolinguistics (Fifth Edition) Children’s Syntax Understanding Utterances Phonology in Generative Grammar Approaches to Discourse An Introduction to Phonetics and Phonology (Second Edition) An Introduction to Japanese Linguistics Modern Phrase Structure Grammar Linguistics and Literature Semantics in Generative Grammar English Grammar: A Generative Perspective An Introduction to Linguistic Theory and Language...
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