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+[[!meta title="A.I. that Helps Play the Game of Your Life - Andrew J. Dougherty"]]
+
+- 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.