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      <title>Is it possible to create artificial intelligence by </title>
      <link>https://padlet.com/mou0059/1c5tizdh81m7</link>
      <description>By Mariah Mouncher 11F
Is it possible to create artificial intelligence </description>
      <language>en-us</language>
      <pubDate>2017-05-04 00:52:34 UTC</pubDate>
      <lastBuildDate>2025-10-25 21:31:34 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>Is it possible to create artificial intelligence?</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169821071</link>
         <description><![CDATA[<div>It is predicted that A.I (artificial intelligence) is something that can be created in today's science. by tekani </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 00:57:28 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169821071</guid>
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      <item>
         <title>Introduction</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169821278</link>
         <description><![CDATA[<div>Specifically, I am to research the possibility of science creating artificial intelligence and actually succeeding in producing a machine with induced mental capability. This research will be directed at Syfy Fanatics and/or my Peers who may have an interest in the possibility of robots having A.I. Artificial Intelligence is a man made form of knowledge and skill that can be adapted by robot's or computers. A.I is any device that perceives its environment and takes actions that maximize its chance of success at a certain goal. They mimic functions that humans associate with human ability. For example this being learning and/or problem solving. The question asked whether or not an A.I can be created has already been answered by today's science as we see this in computers, strategic games and interpreting complex data. However, there have been goals set for the future in artificial intelligence, these being to create technology that allows computers to have ability in knowledge, planning, learning, communication, logic and perception, all of which similar to that of a humans or animals. Social intelligence is a major factor that scientists wish to explore and they hope to achieve recognition of faces or objects and the ability to simulate human feelings or affects.  </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 00:59:45 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169821278</guid>
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      <item>
         <title>A Road-map towards machine intelligence- Facebook A.I Research</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169822379</link>
         <description><![CDATA[<div>The aim of this research proposed by Tomas Mikolav, Armand Joulin and Marco Baroni is to expose an A,I to an environment that can be used to teach a machine the basics of 'natural-language-based communication'. This research would explore complex interactions with human users on the social media platform of Facebook. Tomas Mikolav and his team also delved into the algorithms the A.I could use in order to socialize with Facebook users. By approaching this, they first defined the general characteristics they thought intelligent machines were to possess. Then the researchers presented a way to tackle this research by using small steps to reach their goal of creating an algorithm for a powerful artificial intelligence. In order to reach their goal of building machines that could learn how to converse as a human can, they educated this system in a way you would teach a child. This included creating interactive scenarios. By tackling through an A.I's channels (circuits and programming), the team tried perceptive learning (showing or inputting images) which ended with the A,I identifying 2D imagery, not 3D.<br><br>Small steps through its learning caused the A.I to record paraphrased information, though it overloaded on information and failed to act. Putting an A.I through the scenarios that the researchers did would cause it to learn. Telling a robot what to do would help it along. It was all about the A.I responding and understanding human emotion or coding developed by humans. Conclusions drawn about this experiment were that trying to initiate ambitious and complex linguistic abilities relied heavily on what researchers fed their robot through computer algorithms and commands via input and html commands.  </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:11:15 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169822379</guid>
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      <item>
         <title>The Lovelace 2.0 test of Artificial Creativity and Intelligence</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169823655</link>
         <description><![CDATA[<div>In previous years, artificial intelligence was brainstormed to be something only humans could control. That is still partly true nowadays but a test was created to see if an A.I can be asked to create something, that being a story or poem. In the 19th century, the Lovelace test would only allow an A.I to pass if the programmer could not explain why or how their creation created what was asked. However, a man named Mark Riedl challenged this test, seeing the passing procedure as confusing.<br><br>Riedl then decided to recreate the test, respectfully calling it Lovelace 2.0. The aim of the research test was to see if an A.I could interact with a judge and do as it was asked, mostly completing creative tasks. The procedure that took place consisted of a human judge sitting at an artificial intelligent computer. From there on, he would type in his request such as "Tell me a story about a cat that saves the day". The A.I would then simulate that request, looking into its databases and displaying an already existing story or even creating its own if it was capable. Aesthetics were not evaluated, for it was mostly focused on success. <br><br>However, even after this experiment, the developers of the A.I's could never get their creations to pass the test solely because most generation systems required extensive coding and 'domain centre's' and A.I can only store so much. In conclusion, in order to pass the Lovelace Test, you could either produce skepticism in the judge or an A.I with enough coding. Creativity is not unique to human intelligence, but it is something Artificial Intelligence should work towards.<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:24:26 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169823655</guid>
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      <item>
         <title>Analysis</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169824624</link>
         <description><![CDATA[<div>Following my hypothesis, the evidence I have collected does support it. Artificial Intelligence is something that can be created thanks to the many minds in science theorizing and diving into experiments to prove that their theories are correct. A.I relies on computers and robotics, something that has evolved greatly.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:33:53 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169824624</guid>
      </item>
      <item>
         <title>Ethics- Potential Limitations, Sources of Error</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169825041</link>
         <description><![CDATA[<div>Any potential limitations of the evidence collected from research papers could lie in the initial collection of data or coding. Without the proper algorithms supplies by developers, an A.I will have its limitations. There is a possibility that all results are opinionated given if the A.I is the researchers own or they could even be biased because of this. Possible sources of error could be hidden in an A.I's algorithm and that could affect a whole experiment and data could be unreliable. An A.I could also malfunction if too much info is given to it.</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:37:09 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169825041</guid>
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      <item>
         <title>Conclusion and Generalisation</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169825522</link>
         <description><![CDATA[<div>Artificial Intelligence has been proven possible to be created several times with today's technology. My hypothesis has been correct throughout this research but if i were to modify it for future investigation, I would look for more research and try to research more technical terms so that I could understand the information I've been reading. Perhaps I can look for famous models of A.I and research them to greater extents than what I have now. My findings have all come down to show that A.I can be easily made, especially by trained professionals (even university/college students) interested in making life easier for society. Using my information that is supported by evidence, society can benefit from it by applying A.I to computers or everyday appliances like cooking electronics or for interaction. Companies could use my evidence to increase their interest in investing in artificial intelligence to possibility apply to their businesses.<br><br>The conclusions I have drawn can be generalized to relevant populations and societies because A.I is something that anybody can receive. Since it has been proved that artificial intelligence can be created, who is to say that it wouldn't be available and usable to the public? Already A.I is used in objects such as phones (Siri), CPU units in video games, security surveillance and movie recommendation sites or apps like Netflix. Easily A.I is applicable to everyday life and who is to say that it won't go further thanks to evolving technology. </div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:40:58 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169825522</guid>
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      <item>
         <title>References (APS REFERENCING)</title>
         <author>mou0059</author>
         <link>https://padlet.com/mou0059/1c5tizdh81m7/wish/169826917</link>
         <description><![CDATA[<div><strong>Scientific evidence/data source 1:</strong><br>Mikolav T, Joulin A, Baroni M<br>A Roadmap Towards Machine Intelligence<br>Facebook A.I Research<br><a href="https://arxiv.org/pdf/1511.08130.pdf">https://arxiv.org/pdf/1511.08130.pdf</a><br>Pg's 1-12 Volume N/A<br>Year 2015<br><br><strong>Scientific evidence/data source 2:<br></strong>Riedl O. M<br>The Lovelace 2.0 Test of Artificial Creativity and Intelligence<br><a href="http://airesearch.com/wp-content/uploads/2016/01/1410.6142v1.pdf">http://airesearch.com/wp-content/uploads/2016/01/1410.6142v1.pdf</a><br>Pg 1-3 Volume N/A<br>2014- Oct 22nd<br>(Originally proposed by Turing A 1950)<br><br>Information collected:<br><strong>Article title:</strong> Artificial intelligence<br><strong>Website title:</strong> En.wikipedia.org<br><strong>URL:</strong> https://en.wikipedia.org/wiki/Artificial_intelligence</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-05-04 01:52:21 UTC</pubDate>
         <guid>https://padlet.com/mou0059/1c5tizdh81m7/wish/169826917</guid>
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