From d2071b13114900c50aa77c89588f254828103c04 Mon Sep 17 00:00:00 2001 From: Amin Bandali Date: Sun, 19 Jul 2020 12:47:59 -0400 Subject: 2019: add a few more talks/ pages --- 2019/talks/07.md | 169 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 169 insertions(+) create mode 100644 2019/talks/07.md (limited to '2019/talks/07.md') diff --git a/2019/talks/07.md b/2019/talks/07.md new file mode 100644 index 00000000..4943248c --- /dev/null +++ b/2019/talks/07.md @@ -0,0 +1,169 @@ +[[!meta title="A.I. that Helps Play the Game of Your Life - Andrew J. Dougherty"]] +[[!meta copyright="Copyright © 2019 Andrew J. Dougherty"]] + +[[!template id=vid +src="https://mirror.csclub.uwaterloo.ca/emacsconf/2019/emacsconf-2019-07-ai-that-helps-play-game-of-your-life--frdcsa--aindilis.webm" +type="video/webm"]] + +### Download + +
  • Slides
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  • Transcript
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  • User manual
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  • Landing page
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  • Homepage
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  • Sources
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  • IRC: #frdcsa and #freelifeplanner on freenode
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  • VM: Panoply VM to be released in 1-3 months after the talk
    • + +- [Video](https://mirror.csclub.uwaterloo.ca/emacsconf/2019/emacsconf-2019-07-ai-that-helps-play-game-of-your-life--frdcsa--aindilis.webm) (1080p) +- [Slides](https://frdcsa.org/~andrewdo/panoply-presentation.odp) +- [Use-case](https://frdcsa.org/~andrewdo/writings/homeless-story.html) +- [User manual](https://frdcsa.org/~andrewdo/writings/README.html) +- [Landing page](https://frdcsa.org/frdcsa/) +- [Homepage](https://frdcsa.org/~andrewdo/) +- [Sources](https://github.com/aindilis) +- IRC: `#frdcsa` and `#freelifeplanner` on freenode +- VM: Panoply VM to be released in 1-3 months after the talk + - P.S. FRDCSA Panoply GNU/Linux Libre Artificial Intelligence system + public alpha has been released (containing a version of the Free + Life Planner), and is available from + + +### Transcript + +- What if you collect thousands of A.I. tools and apply them towards + planning your life? That's exactly what FRDCSA has been working on + for the last twenty years. Only soon, you can download a VM + containing the core systems. In today's increasingly complex world, + sometimes we can be blindsided by rules we didn't know existed. If + you're living on the edge, this can be a disaster. What if all the + rules that applied to us, from legal, to financial, to just basic + common sense, were collected into a system that was capable of + reasoning with them and planning with them. You could put your + objectives into the system and it would factor in all these things + and spit out a plan. Well that's just one of the many things that + FRDCSA's Free Life Planner A.I. seeks to do. + +- A.I. is problem-solving, and software that can do this has to grow + larger as problems and their complexity multiply. Over the last 20 + years the FRDCSA project has collected thousands of codebases, and + written hundreds of codebases, gluing everything together and making + it available from within Emacs, Perl and Prolog. The Free Life + Planner, FLP, takes this and applies it directly towards assisting + users in their minute-to-minute, day-to-day, year-to-year lives. + +- Think of a massive collection like V'ger had in Star Trek: The + Motion Picture, of things like strong game-playing systems like + AlphaZero, but tailored to the specific problems people most often + encounter with finances, meal-planning, transportation, health care, + etc. + +- If you're interested in a personal A.I. assistant, stay tuned as we + cover the Free Life Planner. But it is after all only one of over + 600 custom codebases developed for FRDCSA. Soon, Panoply, the + virtual machine distribution of FRDCSA, will be released for you to + explore. So, let's have a look at some of what FRDCSA can do for + you. + +- FRDCSA wants to help you solve as many problems as it can, treating + the world as a game which it tries to win, by proofs that bad things + don't happen. We know that if a set of problems constitutes t bits + of information, and a set of programs contains less than t bits of + information, then it is impossible to solve these problem from these + programs. When it comes to AI, bigger is better. In 2002 this led + me to Emacs, Perl, Debian and Cyc, and a growing list of over + 100,000 external codebases. In fact, FRDCSA excels at finding and + packaging software, and exposing APIs for reuse. + +- Someone once asked me, what does FRDCSA do? I couldn't give them an + answer. I didn't know where to begin. There aren't any silver + bullets to demonstrate. So where does Emacs fit in? It is the + develop console, mission control, where most development and usage + occurs. There are dozens of modes, thousands of key-bound + functions. Let's look at some representative Emacs systems written + because we couldn't find anything with similar capabilities. + +- This is UniLang, a multi-agent system facilitator, and a core FRDCSA + system. UniLang let's all the systems talk to each other. For the + Free Life Planner we want to spider the internet, to find, retrieve + and index rules and software, to apply them towards improving the + way we live on a daily basis. But to intelligently spider you need + to be able to understand the text. Because lots of useful + information on the internet is in text form, FRDCSA is heavily + focused on natural language understanding. + +- This is NLU, it's a system based on semantically annotating text. + +- Okay, so our spider is helping us to locate rules. But what about + software, we still need more software. New software is being + written all the time, how do we gather it? IES is an information + extraction system, it allows you to label text like software + metadata using text properties, and then train a model and use it to + label other text. This way we can extract information about + software systems we want to acquire and package. + +- Okay great, we're getting more software, now what do we do? Let's + go back to rules for a minute. We have a lot of text, but how do we + translate it into a machine-readable format? That's where NLU-MF + comes in. Okay we have rules in a machine readable format, but how + do we know when they're applicable? We have to store the + world-state somehow. Enter FreeKBS2, our free knowledge-based + system, with persistent storage of rules and facts. It is a useful + Emacs front-end for rapidly manipulating symbolic rules and facts + and editing the knowledge-base. + +- So now we have some refined executable rules. How do we reason with + these common sense rules? Enter the Cyc system, undoubtedly the + world's largest, most sophisticated, common sense A.I.. But Cyc is + proprietary. Well, thanks to Douglas Miles, the author of the free + (libre) LogicMOO system, that's not a problem anymore. LogicMOO + aims to be backward compatible with Cyc itself. Let's demonstrate + our cyc-mode-2, which aims to create a deep channel between Emacs + and LogicMOO. + +- Today's software is fantastic, but there's not a lot in the way of + integrated approaches to planning one's life to improve the way we + live on a daily basis. The version of Free Life Planner on the + Panoply VM distribution currently does calendaring, recurrences, + reminders, planning, scheduling and execution. But the good news + is, we can make it a lot better. The potential for a rule-based + crowd-sourced life planner is tremendous. + +- People finally started understanding better what FLP, and to some + extent, FRDCSA, does when I wrote the following use case story. + It's the homeless-story.html, I'll provide the link later. It's the + story of a person facing homelessness who uses FLP to escape + homelessness. I highly suggest you read it to familiarize yourself + with the FLP. Some people think it is science-fiction, but I assure + you this story is doable with the tools we've collected. + +- Okay, where are we? We have a rule-based system, but our software + cannot do everything, no piece of software can. We have lists of + software that the spider and IES got us. Retrieving it is easy, + packaging it is hard. How do we package this software? Why not + record ourselves packaging software to add data to the A.I. so it + can learn how to make packages. + +- So we have lots of data about how to package, but now the system has + to figure out how to make packages on its own. It needs to be able + to think and plan. What's more, once the software is packaged, FLP + has to figure out how to use that software. Enter the software + robot called Prolog-Agent. Prolog-Agent is an intelligent agent + under development that can control Emacs in order to achieve + objectives, and will eventually be able to make use of recorded + traces. + +- So now we have all these rules and software, but wouldn't it be nice + if we could help teach the users some of the rules, and how to use + the software. That's what CLEAR does. CLEAR is a great way to have + books, manuals, websites, etc, read to you, allowing you to pause, + quit, resume and filter out nonsense. + +- If you'd like to get a copy of Panoply when the public alpha is + hopefully released in a few months, please email me. I will add + your name to the mailinglist. But also, please join us at `#frdcsa` + and/or `#freelifeplanner` on freenode. I would like you to try out + the FRDCSA, familiarize yourself with it, and test it. Thank you so + much for listening. Have a great day. -- cgit v1.2.3