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Eliza Programm Download Deutsch
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M-x doctor mode, an Eliza clone running in ELIZA is an early created from 1964 to 1966 at the. Created to demonstrate the superficiality of communication between humans and machines, Eliza simulated conversation by using a ' and substitution methodology that gave users an illusion of understanding on the part of the program, but had no built in framework for contextualizing events. Directives on how to interact were provided by 'scripts', written originally in, which allowed ELIZA to process user inputs and engage in discourse following the rules and directions of the script. The most famous script, DOCTOR, simulated a and used rules, dictated in the script, to respond with non-directional questions to user inputs. As such, ELIZA was one of the first, but was also regarded as one of the first programs capable of passing the. ELIZA's creator, Weizenbaum regarded the program as a method to show the superficiality of communication between man and machine, but was surprised by the number of individuals who attributed human-like feelings to the computer program, including Weizenbaum’s secretary. Many academics believed that the program would be able to positively influence the lives of many people, particularly those suffering from psychological issues and that it could aid doctors working on such patients’ treatment.
While ELIZA was capable of engaging in discourse, ELIZA could not converse with true understanding. However, many early users were convinced of ELIZA’s intelligence and understanding, despite Weizenbaum’s insistence to the contrary.
2017-02-11 - Fedora Release Engineering - 1.06-5 - Rebuilt for 2016-05-15 - Jitka Plesnikova - 1.06-4 - Perl 5.24 rebuild 2016-03-18 - Petr Pisar - 1.06-3 - Modernize spec file 2016-02-04 - Fedora Release Engineering - 1.06-2 - Rebuilt for 2015-11-02 - Jitka Plesnikova - 1.06-1 - 1.06 bump 2015-06-18 - Fedora Release Engineering - 1.05-5 - Rebuilt for 2015-06-03 - Jitka Plesnikova - 1.05-4 - Perl 5.22 rebuild 2014-08-26 - Jitka Plesnikova - 1.05-3 - Perl 5.20 rebuild 2014-06-07 - Fedora Release Engineering - 1.05-2 - Rebuilt for 2014-04-17 - Petr Šabata - 1.05-1 - 1.05 bump.
Eliza 4615. 1. Subject: KNOWLEDGE BASE SYSTEM ELIZA THE INTELLIGENT SOFTWARE SUBMITTED TO: MAM HINA SUBMITTED BY: MUHAMMAD UMAIR ROLL NO: 4615 BS(IT) MORNING Govt. Post Graduate College Samnabad Faisalabad. Abstraction ELIZA is a program operating within the MAC time-sharing system at MIT which makes certain kinds of natural language conversation between man and computer possible. Input sentences are analyzed on the basis of decomposition rules which are triggered by key words appearing in the input text. Responses are generated by reassembly rules associated with selected decomposition rules.
The fundamental technical problems with which ELIZA is concerned are: 1. The identification of key words, 2. The discovery of minimal context, 3. The choice of appropriate transformations, 4. Generation of responses in the absence of keywords, and 5. The provision of an ending capacity for ELIZA 'scripts'.
Introduction ELIZA was a computer program written by Joseph Weizenbaum of MIT University in the late 60s which is considered to be the first chat bot, i.e. A program that can partially mimic a human in a conversation with a human. In many ways ELIZA is has provided insights not just into what a serious NLP system should achieve but also has provided a lot of insight into human reactions to computer systems which look like “intelligent” systems but are not so.
ELIZA was not meant to be an AI system, it was meant to be a toy or a parody system. As Weizenbaum mentions ELIZA was supposed 'to play (or rather, parody) the role of a Rogerian psychotherapist engaged in an initial interview with a patient'. However, the reaction to the ELIZA program by the test subjects was completely unexpected and many formed an emotional attachment to the “therapist”. Weizenbaum was very disturbed by the unexpected reaction to ELIZA by lay and that was one of the reasons why he wrote the book “Computer Power and Human Reason” an attempt to clarify his position on computer science, AI, and its relations to human society. History The computer program ELIZA, lives on.
Weizenbaum created ELIZA in the mid 1960's as a model of 'natural language' interaction between a human subject and a computer. ELIZA mimics a talk therapist, rephrasing statements made by the user as open-ended questions, encouraging further discussion. Weizenbaum named his program after Eliza Doolittle, the famous subject of Henry Higgins's tutelage in the play Pygmalion (more popularly known for its musical adaptation, My Fair Lady). ELIZA is a mock (Rogerian) psychotherapist. The original program was described by Joseph Weizenbaum in 1966.
This implementation ('elizabot.js') by Norbert Landsteiner 2005. Graphics and real-time text to speech integration added in 2013.
Working ELIZA ran many scripts, each of which processed the responses of the users by using simple parsing and by substitution of them into premade templates and using hardcoded phrases, seemingly continued the conversation. The most popular script used in the ELIZA program was DOCTOR which was supposed to be a parody of a Rogerian Psychotherapist, i.e. It would ask the questions which are like those favored by the 60s therapists who indulged in what is known as “Person Centered Therapy” in which the therapist would often return a question asked by the patient to themselves to increase empathy. This choice of a therapy setting was deliberate as questions like “what is your favorite Colour” can be returned to the human conversant with replies like “why do you ask?” in such a setting. This kind of setting doesn’t need the system to actually understand the questions and the answer templates are pretty much finite.
Thus, Weizenbaum wanted to create something simple enough which will not have requirement to know real world data and thus side step issues of natural language processing or any kind of semantics. Nor did Weizenbaum have any intention to create an NLP system, the ELIZA project was supposed to be something very simple, almost a toy program, or in Weizenbaum’s own words, a parody.
What DOCTOR does is use a lot of data from the statements the human provides in order to compose responses by using simple templates, these templates having the flavor of stereotypical therapy statements. Thus, DOCTOR does not even attempt to answer the questions in the traditional sense but follows an if-else pattern of using a certain template for a certain trigger. There is no attempt to comprehend the semantics of the statements of the human. ELIZA was first implemented in the SLIP language (Symmetric List Processor), a language incensed by Weizenbaum himself as an extension to FORTRAN but with better functionality to process doubly linked lists. For its time, ELIZA was revolutionary in many aspects, as interfaces were not really common in the computers of the late 60s due to the absence of personal computing and thus the idea of interactive computation had not arisen yet or entered into popular fancy. Even though the perceived intelligence of it was an illusion (and a very bad illusion) the fact remains that it was the first genuine human machine interface (pretending to be a human – intelligent machine interface) attempting to use natural language. However, what was more interesting about ELIZA was not so much its own implementation or characteristics which were simple enough but that of the reaction of the lay public to it which first illustrated the fascination with “intelligent” systems that became a theme of how people react to computers later.
ONLINE CONVERSATIONWith Eliza = ELIZA. = ME. Reactions to ELIZA and the “ELIZA Effect” As Weizenbaum discovered, many subjects who experimented with ELIZA got emotionally attached to it. Many did so despite Weizenbaum’s informing them that there is no intelligence involved and that in fact ELIZA is not ‘answering’ them but only regurgitating a hardcoded script. Weizenbaum goes into some lengths that his subjects at times will not believe him and would for example; ask him to leave the room when they were talking to the “therapist” to maintain “privacy”.
Weizenbaum realized what has been happening, that the subjects want ELIZA to be answering them. This phenomenon is now known as the “ELIZA Effect” which is the tendency of humans to mistakenly confuse computer behaviors having intent behind them and draw analogies to human behaviors subconsciously. Like ELIZA, humans start attributing emotion and understanding to a programs output where none exist or is supposed to exist. It is also important to note that ELIZA’s code was not supposed to elicit such a reaction so this was not a pre-calculated reaction. Weizenbaum explains the dangers of humans leaving decisions to computer program or AI systems, even genuine AI systems, even assuming such systems were possible in the future, as he maintains that there is a difference between a computational “decision” and a “choice” and the non-equivalency of the former to the latter.
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While the human can choose to decide against something which is computationally the right decision by using non-quantifiable factors like judgment and emotions, and alter these decisions as they see fit, a computational system cannot do so. While a human can choose a different decision for the same input parameters multiple times, a computational system will not be able to do so. There were other important reactions to ELIZA as well.
It influenced a lot of things from interface design to game design with many later developers creating similar programs in a variety of settings. ELIZA like programs found their places in some of the first computer games. Chat bots are components of several different types of systems nowadays, like company websites and online help desks.
Programs like these have implications for things like art and artificial creativity as well, starting discussions challenging programmers to define what creativity is. Conclusion ELIZA, while itself a relatively simple system, is important from the point of view of understanding human intelligence and hypothetical machine intelligence as it provokes us to inquire what intelligence actually is and what can be considered genuine intelligence or “original” intentionality in a machine. It also makes us consider the amount of what is perceived as intelligent behavior of an agent lies in the eyes of the observer. Links: https://en.wikipedia.org/wiki/ELIZA.
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