Personal Life Planning Assistant
We intend to release an easily installable set of
applications for personal computers and phones which compiles health
information from trusted news sources into peer-reviewed executable
rules that aid in designing and executing a life plan.
PERSONAL LIFE PLANNING ASSISTANT
Using various GPLv3 software under continuous development for over
14 years, we intend to release an easily installable set of applications
for personal computers and phones which compiles health information
from user-specified trusted news sources into peer-reviewed executable
rules that aid the user in designing and executing a continuous, social
life plan to achieve and maintain health and eudaimonia.
Free and open source software provides an ideal platform to
distribute life saving and improving services through the unrestricted
redistribution of software that implements critical functionality for
users, especially those in poverty and/or having disability and/or
illness. The chief difficulty tends to be in funding its
We propose the
Personal Life Planning Assistant (PLPA) as follows:
News sources and public domain texts are first vetted using Natural
Language Processing software (NLP). The process is divided into
two steps, the acquisition of knowledge (using existing and custom
knowledge extraction and management applications), followed by Rule
Extraction algorithms. This creates a library of unrefined rules,
which are then refined via a crowd-sourced, crowd-reviewed,
trust-managed, prospective and retrospective platform, to create a
repository containing life planning, health and wellness rules in
various stages of refinement.
In addition to rules, relevant facts about the person's life
situation and position, such as life goals and health information, are
collected en masse both passively via NLP through social media and
submitted resources such as documents, and actively disambiguated
through knowledge elicitation dialogs, and are stored locally in a
secret secure encrypted knowledge base (KB) (and all effort is put forth
to maintain confidentiality, integrity and availability of that KB).
The rules previously collected are to be applied to this collection
of facts about the person in question in order to suggest additional
facts to add securely to the knowledge base, including information on
potentially recommended actions to take in certain circumstances.
The theories of rationality, practical reasoning and multi-agent
logics inform the development of argumentation-based practical reasoning
software which functions as a decision support system for the user over
the collection of personal facts and trusted rules to reason about
which of the goals collected and/or elicited from the user are practical
and useful to achieve given their life situation. Planning,
scheduling and interactive execution is then undertaken to develop
conformant plans across multiple levels of granularity which provide
options and help guide the user from their phone and computer towards
the achievement of their goals.
Several kinds of plans are considered, such as diet, preventative
and emergency medical, short, mid and long-term life temporal and
resource planning. The user's performance in achieving their goals
(health or otherwise) is monitored and the effectiveness of the various
plans, and correlations between such factors as diet and health
conditions can be data-mined (given the user's fine-grained consent or
with secure multi-party computation) to obtain large datasets for
evidence-based medicine, public health policy, etc. Public health can
then be influenced directly by improving the quality of the public rule
sets. These rule sets are then calibrated and tweaked by running
the PLPA planner on a regression test library of sample life situations,
enabling a scientific operationalist approach to life. Note that,
far from running your life, this allows the user to specify their
tastes, preferences, trusted sources, opinions, etc, and for plans to be
computed on this basis. Also, being open source enables people to
modify it to their purpose.
News sources (news-monitor (+RSS feeds, ~websites)) and CC and
public domain texts (corpora-manager (+openlibrary.org, +wikipedia,
etc)) are vetted for health, wellness and long-term planning
information, which is analyzed using Natural Language Processing (NLP)
software (Formalize2, KNext, NLU?, Workhorse) and yet-to-be-obtained
rule mining software (such as "A framework for the automatic extraction
of rules from online text" and "Extracting STRIPS Representations of
Actions and Events") and extended through a crowd sourced, reviewed and
trust-managed framework (preferably based on Perl Catalyst)) to create
an argumentation-based practical reasoning expert system
(Action-Planner, CLIPS, Gamer?, Cadiaplayer-3.0?, Leo-II?, EPR?,
CaSAPI); which -- using a knowledge base of encrypted personal facts
(FreeKBS2, Vampire-KIF), mined from social media using NLP, interactive
dialogs, and observed actions (UniLang) -- then helps the user to
generate plans and answers (Action-Planner, Verber, Gamer, LPG-td,
SPSE2, QUAC) from the compiled rules, facts and stated goals (SPSE2,
POSI, UniLang) to quickly obtain relevant, timely and actionable
intelligence and advice, administered through multiple modes (such as a
cell-phone based interactive execution monitor (IEM) and question
answering assistant (QUAC)) in order to more effectively lead a healthy
life in dynamic and possibly resource constrained environments such as
is experienced due to poverty and/or illness.
I have been dedicated to this project since first realizing the
opportunity provided by free software to fulfill the promise of a social
safety net through the power, reliability and communicative capacity of
modern computers and free and open source software. The chief
benefit of the PLPA is that other perspectives, ideas and strategies
(that are present in the entire collection of freely available texts and
news sources) the user and their associates may not have known about or
considered may be applied immediately, directly, efficiently and
confidentially to their exact life situation, vastly improving their
objective conditions. The user is thus spared the impracticable
necessity of reading and evaluating the entire corpus of health and life
planning resources, and the need to tabulate whether all the different
advice applies to their ever-changing situation - the process is
automated, enabling an abundance of choice and possibility, consistent
with their stated purposes and preferences, to which most often the user
would otherwise have remained unaware.
Currently we are in the process of releasing critical portions and
rewriting and expanding essential parts of the FRDCSA (versions 1.0,
1.1, 1.5 and 2.0), which is the overarching project to which the
flagship PLPA project belongs. Most essential hardware
infrastructure is in place. Funding will go to hiring developers
to assist with the release of the FRDCSA. We already have daily
scrums for POSI, which is being integrated into FRDCSA-2.0. That
software will be freely available, including the software development
and testing infrastructure (Vagrant VMs).
Some other notable systems that would be released and/or improved
include the Gourmet Meal Planner, the Paperless-Office and the Job
Describe your project in one sentence.
The FRDCSA helps to improve lives by using free software
social artificial intelligence to freely distribute software solutions
to difficult problems that affect people.
Who is the audience for this project? How does it meet their needs?
Anyone with a computer or a phone. It meets their needs
by assessing them, strategizing with them, incorporating advice from
freely available sources, and aiding them in designing and executing
complex plans to resolve difficult situations and facilitate eudaimonia.
What does success look like?
Software released and available for all platforms,
informing people's choices, improving their lives, especially the lives
of those in poverty and/or with disabilites and/or illnesses, and
assisting interested parties in redistributing the infrastructure to
others who express interest, regardless of on which side of the digital
divide they reside..
Aurora, IL 60506, USA