* This site is based on internet standards not supported by IE 6.
EC Container 5
Truth and Context

Truth and Context Part 2 of 3 - When Computers Understand Us


Show Length: 5:41
We had four main goals for the new computer: 1. Understand people and organizations well enough to anticipate their needs and obligations, 2. Suggest and offer broad information and automation services that follow their rules, 3. Orchestrate harmonious activity across many fixed and mobile devices of a business, hospital, school or home, and 4. Compute efficient means for multiple agents to meet goals that consider nuanced responsibilities, resources and constraints.
We came to realize that the ability to determine the right and wrong states at a time, place and circumstance was a first step towards computable Understanding, enabling man made devices to know us, and anticipate our needs. We had to expand a science to develop a way to map time, place and circumstance without ambiguity.
Think about the gadgets you carry - they have gps, so they know where you are, they have technologies like bluetooth, that detect which objects you are near, they receive and send all your verbal and written communications. With Stored Purpose computing, we now know how to give the man made devices collecting all that information a purpose to care about you, and your Purpose. As the computer takes all this input and navigates Context with you, it will constantly predict ahead about what you care about and what you might need. If it can help, it will, because that will be its Purpose.
We think having man made agents, that understand you, can work with you when making cake, building motorcycles, writing a report, or managing conference rooms is the future of technology. We also think the science that enables a man made device to understand a person, might help people, better understand people and nature.
Watch this episode
HD  QuickTime Movie (.mov) - 375.7 MB
HD  DivX Movie (.divx) - 46.2 MB
SD  MPEG-4 Video (.m4v) - 138.0 MB
HD  YouTube
more ...

Truth and Context Part 1 of 3 - Intro to Context


Show Length: 4:22
What is Truth? What is Context?
When man first attempted “Artificial” Intelligence, programs were written to learn facts. A “fact” was written as: male sibling of parent is an uncle. The idea was that a computer could be taught to understand that if your father John has a brother Paul, then Paul is your Uncle. None of these programs ever enabled a computer to understand anything. But what is a fact, really? “Father’s brother is your uncle” is not a computable fact. How can that be? Know any Catholics? To make a Fact computable, it must stay true even in changing circumstances. So we developed a way to link truth to all points of a cycle of constant contextual variation ... a cycle that defines the existence of a computation that may be the lifespan of an intelligent entity ... a way to define the true meaning of a complex symbol like Father, which in context may mean Dad, Priest, or even God ... making it possible for an Intelligence to understand intended meaning, whenever and wherever a symbol is used.
We call the loci of multi-dimensional symbols that define an Identity, Context Space and its information store, Contextual Fabric. Brother -- (Man -- Parent) is a good point in Context Space to store a Form for “Uncle”. Thus far, we have only discovered one way to design an intelligent entity ... that is to store all parts of Identity ... Symbols, Goals, and Purpose in a Contextual Fabric ... using Purpose hypergraphs. After compiling the first Contextual Fabric, we found we weren’t the first unable to find a better way than the hypergraph ...
Watch this episode
HD  QuickTime Movie (.mov) - 50.3 MB
HD  DivX Movie (.divx) - 35.1 MB
SD  MPEG-4 Video (.m4v) - 26.7 MB
HD  YouTube
more ...

EC Container 6