• Canonicals

    Mind breaks down information into canonicals, which we refer to as a unit of reasoning. The very base of this novel data structure consists of nodes and links. These nodes and links can form connections, and these connections form canonicals. Each symbol represents one level of semantics, within which words can be placed in the specific positions in a canonical. The order or placement of information in a canonical is fundamentally important to its semantics.

  • Augmented

    Topological Network

    We consider our network to be “augmented” because a node can be a link, a link can be a node, and a canonical can be a link or a node. Through this augmentation and data structure, Mind is able to perform not only deductive reasoning, but also inductive and abductive reasoning. Unlike brittle AI models that break down when data isn’t input in a certain way, Mind is able to identify what data it needs, then asks for that data. The reasoning process is completely transparent, as we are able to traverse through the network and determine exactly how Mind came up with its solution.

  • Contextualization

    Any piece of information only makes sense to Mind when it is contextualized. It helps Mind understand not only what, but also why. For example, the word love can be used in various contexts, and it’d be difficult for a software to determine if the word is being used to describe a platonic, romantic, or any other type of love. By being able to arrange canonicals in different ways, Mind is able to contextualize, and discover or derive the context in which the information was input into Mind.

  • Metatheoretics

    There will be two significant inflection points as Mind accumulates ontologies, both domain specific and universal. The first is what we call Critical Mass. When Mind reaches Critical Mass, it will be able to go out and accumulate knowledge on its own. The second point is the idea of Metatheoretics. This is when Mind will be able to create its own original theories, essentially coming up with its own hypotheses and experiments in any domain. This will allow humanity to utilize the power of Mind to pursue a new level of prosperity.

Use Cases
  • Q2
    • Define use of basic verbs in different grammatical situations
    • Develop Mind AI’s understanding of basic verbs from Cambridge texts plus use of supporting information
    • Accumulate ontologies for basic "person" objects (e.g. I, you, he/she/them)
    • Define ontology collection methods
  • Q3
    • Define use of basic verbs in different grammatical situations
    • Accumulate ontologies for basic "people", "at home", "school and workplace", and "leisure", using vocabulary from Cambridge text
    • Milestone: Have Mind AI read and display basic
 comprehension of the book: The Little Prince
  • Q4
    • Accumulate ontologies for "the world" and "social issues" using vocabulary from Cambridge
    • Begin building off-chain ontology database and preliminary ecosystem
    • Devise an interoperability model for the Mind ecosystem
    • Milestone: Have Mind AI read and display advanced comprehension of the book: The Little Prince
    • Milestone: Have Mind AI read and display basic comprehension of the book: Brave New World
    • Milestone: Accumulate 3,000 words in the ontological repository
  • Q1
    • Begin rolling out Mind AI API to selected partners
    • Develop Mind AI’s capability of making simple logical leaps that is implied in domain knowledge but is not specifically outlined in instructions
    • Launch Mind ecosystem private alpha, testing end-to-end ecosystem processes with selected partners
    • Milestone: Read and comprehend arbitrary Wikipedia article
    • Milestone: Educate the Mind AI with instruction manuals
 in natural language, and have it follow the course of action from instructions to solve simple domain specific problems
  • Q2
    • Add another 600 words into the ontological repository
    • Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
    • Open Mind AI API access to public
    • Launch private beta of the Mind ecosystem
    • Develop resolution models for complex synonymies
    • Provide cross-domain reasoning to those who apply for this functionality
  • Q3
    • Add another 600 words into the ontological repository
    • Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
    • Provide ontology services in the Mind ecosystem: creation, validation, and versioning
    • Open Mind ecosystem to general public
  • Q4
    • Add another 600 words into the ontological repository
    • Begin crowdsourcing domain level ontology with gamified UI and reward system
    • Roll out API in other languages (Spanish and Korean) for select partners
    • Open Critical Mass extensions to general public
Token Generation Event
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  • In what stage is Mind's current development?
    Currently, we have a working MVP. We will begin live testing of its application use with a few partners starting in Q4 2018, and we plan to go live with the Mind ecosystem in 2019 assuming we secure our necessary funding by reaching the hard cap. Upon its live release, Mind will have required roughly fourteen years of R&D. It is important to note that Mind is not a fixed engine with a fixed set of rules and behaviors. It has the capacity to expand its knowledge of the world, and further its own growth and development. Therefore, when referring to Mind’s development, we can look at it as an ever evolving tool, always learning, improving, updating, and branching out into new domains. In order to scale the growth and further development of Mind, to allow it to reach its fullest capacity, we too must open up. This is why we need the community, and why we are creating the Mind ecosystem, Scientists are well known for having large budgets, coming together from all walks of the planet and joining together to figure things out. The very nature of their approach to solve problems is exactly what must be done for AI, and essentially the planet as a whole. We aim to share the Mind engine and ecosystem so that these AI advances can really benefit society; we aim to collectively improve the well-being of everyone and everything everywhere.
  • What's the reason behind the name OMAI token?
    The name OMAI comes from combing the words "one", "mind", and "AI". We chose this name because we are all within a singular universe, a single planet, coexisting in our own experience. Our mind, our human evolution has grown from the singular ability of the human mind to reason, to think beyond survival, and to reach instead for a thriving life. OMAI values the embodiment of human morals, and represents our collective effort towards prosperity as one.
  • Why do you need blockchain?
    Creating a democratized AI ecosystem requires a number of necessary components, many of which were not available or were inefficient prior to blockchain technology. Here are the most important factors required for the Mind AI ecosystem that blockchain addresses: Immutability - Ontologies need to be immutable. In the course of collecting ontologies, many inaccurate and low-quality ontologies will be submitted. There will be facts that become obsolete or proven otherwise. However, these "bad" ontologies are just as important to Mind AI as the "good", high-quality ontologies. This is because Mind AI constantly learns through contextualization. Ontologies will not become obsolete, even if they contain outdated facts. They will instead just contain a different context, which is important for Mind AI, as new ontologies will provide context for new information and therefore explain why the other ontologies are inaccurate. Mind AI needs the history to learn, as part of its knowledge base will detail why things are wrong. Immutability allows this history to remain untouched, and unaltered. Global Reward System - Though borders are meaningless in the digital world, global payments across borders are still extremely slow, expensive, and complicated. A tokenized economy allows a fast, inexpensive, and transparent reward system for every agent in the Mind AI ecosystem. This is critical for an ecosystem that thrives on a large-scale global participation. Transparency and Democracy - Blockchain technology allows for transparent system. This is important to the Mind AI ecosystem in two ways. The first is for reward distribution. A smart contract based reward distribution system will be transparent and the community can be sure that everyone is getting rewarded fairly and accurately. The second need is for community voting. When the community comes together to vote on Ethical Upper Ontologies, the priority of ontological bounties, or triggering the kill switch, the entire voting system must be transparent to show that the democratic system is not being played for one party's advantage.
  • When is the public token sale?
    Details for public token sale will be announced in the future.
  • Is there a bounty or airdrop campaign?
    Details for bounty or airdrop campaigns will be announced in the future.
  • Will you be listed on an exchange? When? Which ones?
    All information regarding exchange listings will be announced after it becomes official.
  • Are you hiring?
    We are currently searching for Lisp engineers. Please send your resume to jobs@mind.ai.
Questions? Get in touch.
Or, send an email to (972) 709-7925
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