Answers.Body: <p>You can contribute to AGI research in several ways.</p>
  
  <ul>
  <li><p>Write papers for the <a href="http://agi-conf.org/" rel="nofollow noreferrer">Artificial General Intelligence conference</a>, which is peer-reviewed, or other AGI conferences or journals, or just submit them to e.g. <a href="https://arxiv.org" rel="nofollow noreferrer">Arxiv</a>. For example, you can write papers about AGI algorithms or architectures.</p></li>
  <li><p>Contribute to (open source) AGI systems, like <a href="https://github.com/opencog" rel="nofollow noreferrer">OpenCog</a>, <a href="https://github.com/brohrer/becca" rel="nofollow noreferrer">BECCA</a> or <a href="https://github.com/opennars/opennars" rel="nofollow noreferrer">OpenNARS</a>.</p></li>
  <li><p>Implement AGI algorithms, mechanisms or architectures, and put them, for example, on Github.</p></li>
  </ul>
  
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Answers.CreationDate: 2019-04-01T18:05:53.573Z
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Answers.Body: <p><a href="https://wiki.opencog.org" rel="nofollow noreferrer">OpenCog</a> is an open source AGI project. But it is is also <a href="http://goertzel.org/MonsterDiagram.jpg" rel="nofollow noreferrer">incredibly complex</a> and IMHO not a good idea (I have not fully read his theories). You can learn the essential ideas behind OpenCog from the <a href="http://goertzel.org/research-papers/." rel="nofollow noreferrer">co-founder Ben Goertzel site</a> as well.</p>
  
  <p>Or, you can participate in the philosophical discussion regarding AGI. For strictly AGI, decision theory, logic, and math material (they are all related), you can look up stuff from <a href="http://yudkowsky.net/" rel="nofollow noreferrer">http://yudkowsky.net/</a> or <a href="https://arbital.com/" rel="nofollow noreferrer">https://arbital.com/</a>. But, in some sense, every branch of philosophical inquiry can be tied back to AGI and consciousness (ethics, metaphysics, etc.), so if it fancies you it depends on how you'd like to tackle it.</p>
  
  <p>You could also study the psychology end of things. The following papers and related ideas are quite important in the field of study of consciousness and cognition (but keep in mind this is pretty much a random list, the literature is massive!):</p>
  
  <ul>
  <li><p><a href="http://cogweb.ucla.edu/CogSci/GWorkspace.html" rel="nofollow noreferrer">Global Workspace: A Theory of Consciousness</a> (1997)</p></li>
  <li><p><a href="http://www.ipsi.utoronto.ca/sdis/Relevance-Published.pdf" rel="nofollow noreferrer">Relevance Realization and the Emerging Framework in Cognitive Science</a> (2009)</p></li>
  <li><p><a href="https://www.nature.com/articles/nrn2787.pdf" rel="nofollow noreferrer">The free-energy principle: a unified brain theory?</a> (2010)</p></li>
  </ul>
  
  <p>Recently, (in mathematical time), progress in category theory shows promise of being a unified framework of much of the existing math. I know next to nothing about it, but the people that do are applying to many new fields of study (including AI, apparently). Category theory requires a lot of background mathematical knowledge before its vocabulary begins to make sense, though, so beware. You can read about it on the <a href="https://ncatlab.org/nlab/show/HomePage" rel="nofollow noreferrer">nCatLab</a> and occasionally on <a href="https://johncarlosbaez.wordpress.com/" rel="nofollow noreferrer">John Baez's blog: Azimuth</a> </p>
  
  <p>Of course, "regular" techniques in Machine Learning such as neural networks, reinforcement learning, statistical methods, and others are very powerful as well, but due to certain regards in their construction, they are generally understood as only being capable of being "narrow AI" in the sense that they can only complete a single task very well, but perhaps you can find some research that changes this?</p>
  
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Answers.CreationDate: 2018-02-25T23:50:54.563Z
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Answers.UserDisplayName: k.c. sayz 'k.c sayz'
Body: <p>Is there a way for people outside of the core research community of AGI to contribute to the cause?</p>
  
  <p>There are a lot of people interested in supporting the field, but there is no clear way to do that. Is there something like <a href="https://boinc.berkeley.edu" rel="noreferrer">BOINC</a> for AGI researches, or open projects where random experts can provide some input? Maybe Kickstarter for AGI projects? </p>
  
Tags: <research><agi><superintelligence>
Title: How can people contribute to AGI research?
UserDisplayName: Alex
ThreadText: # How can people contribute to AGI research?
  
  (Asked by: username_0 on 2018-02-25)
  
  Is there a way for people outside of the core research community of AGI to contribute to the cause?
  
  There are a lot of people interested in supporting the field, but there is no clear way to do that. Is there something like [BOINC](https://boinc.berkeley.edu) for AGI researches, or open projects where random experts can provide some input? Maybe Kickstarter for AGI projects?
  
  **Tags:** research, agi, superintelligence
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_2 on 2018-02-25. Score: 8
  
  [OpenCog](https://wiki.opencog.org) is an open source AGI project. But it is is also [incredibly complex](http://goertzel.org/MonsterDiagram.jpg) and IMHO not a good idea (I have not fully read his theories). You can learn the essential ideas behind OpenCog from the [co-founder Ben Goertzel site](http://goertzel.org/research-papers/.) as well.
  
  Or, you can participate in the philosophical discussion regarding AGI. For strictly AGI, decision theory, logic, and math material (they are all related), you can look up stuff from <http://yudkowsky.net/> or <https://arbital.com/>. But, in some sense, every branch of philosophical inquiry can be tied back to AGI and consciousness (ethics, metaphysics, etc.), so if it fancies you it depends on how you'd like to tackle it.
  
  You could also study the psychology end of things. The following papers and related ideas are quite important in the field of study of consciousness and cognition (but keep in mind this is pretty much a random list, the literature is massive!):
  
  * [Global Workspace: A Theory of Consciousness](http://cogweb.ucla.edu/CogSci/GWorkspace.html) (1997)
  * [Relevance Realization and the Emerging Framework in Cognitive Science](http://www.ipsi.utoronto.ca/sdis/Relevance-Published.pdf) (2009)
  * [The free-energy principle: a unified brain theory?](https://www.nature.com/articles/nrn2787.pdf) (2010)
  
  Recently, (in mathematical time), progress in category theory shows promise of being a unified framework of much of the existing math. I know next to nothing about it, but the people that do are applying to many new fields of study (including AI, apparently). Category theory requires a lot of background mathematical knowledge before its vocabulary begins to make sense, though, so beware. You can read about it on the [nCatLab](https://ncatlab.org/nlab/show/HomePage) and occasionally on [John Baez's blog: Azimuth](https://johncarlosbaez.wordpress.com/)
  
  Of course, "regular" techniques in Machine Learning such as neural networks, reinforcement learning, statistical methods, and others are very powerful as well, but due to certain regards in their construction, they are generally understood as only being capable of being "narrow AI" in the sense that they can only complete a single task very well, but perhaps you can find some research that changes this?
  
  
  ---
  
  ### Answer by username_1 on 2019-04-01. Score: 4
  
  You can contribute to AGI research in several ways.
  
  * Write papers for the [Artificial General Intelligence conference](http://agi-conf.org/), which is peer-reviewed, or other AGI conferences or journals, or just submit them to e.g. [Arxiv](https://arxiv.org). For example, you can write papers about AGI algorithms or architectures.
  * Contribute to (open source) AGI systems, like [OpenCog](https://github.com/opencog), [BECCA](https://github.com/brohrer/becca) or [OpenNARS](https://github.com/opennars/opennars).
  * Implement AGI algorithms, mechanisms or architectures, and put them, for example, on Github.
  
  
  ---
  
  