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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.