Method and apparatus for defining an artificial brain via a plurality of concept nodes defined by frame semantics

• US 8,463,720 B1
• Filed: 03/26/2010
• Issued: 06/11/2013
• Est. Priority Date: 03/27/2009
• Status: Active Grant

• Current Assignee: Neuric Technologies, LLC
• Original Assignee: Neuric Technologies, LLC
• Inventors: Seale, Jennifer, Lindsley, Hannah, Margheim, Timothy Allen
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): Sugent, James F
• Application Number:
  US12/748,262
• Time in Patent Office: 1,173 Days
• Field of Search: 706/15, 706/20, 704/200, 704/202, 704/243
• US Class Current: 706/15
• CPC Class Codes: G06N 3/061 using biological neurons, e.g. biological neurons connected to an integrated circuit
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: G06N 3/10 Interfaces, programming languages or software development kits, e.g. for simulating neural networks

Abstract

A method for defining a network of nodes is provided, each representing a unique concept, and making connections between individual concepts through unique relationships to other concepts. Each of the nodes is operable to store a unique identifier in the network and information regarding the concept in addition to the unique relationships.

Claims

1. A method for emulating human behavior, the method comprising:

providing a plurality of neurons, wherein one neuron constitutes a predetermined activity neuron that represents one concept and at least one concept is that of an activity associated with a type of verb;

defining relational connections between the activity neuron and a second group of the plurality of neurons, each of the second group of the plurality of neurons representing a fixed concept that is unique to the activity associated with the activity neuron;

wherein the meaning of the activity neuron is determined by a relational connection between the activity neuron and the second group of the plurality of neurons established through the relational connection and wherein the relationship between the activity neuron associated with the concept of activity and the second group of neurons comprises a framework of neurons uniquely related to the at least one concept of the predetermined activity associated with the type of verb associated with that predetermined activity;

providing a plurality of verb neurons, each representing the concept of an associated verb and each associated neuron defined by a plurality of relationships to other neurons and each having a relationship defined to the activity neuron;

providing a plurality of neurons associated with other grammatical elements that can be found in a bounded grammatical structure;

parsing an input bounded grammatical structure to derive the verb associated with the bounded structure and the other associated grammatical elements;

determining if the verb in the bounded structure is a verb of the type associated with the activity neuron;

determining which of the relationships from the activity neuron to the associated second group of neurons exists which will define the relationship of the parsed grammatical elements to the parsed verb; and

creating a clump neuron defining all of the associated neurons for the parsed grammatical structure and the associated relationships.

2. The method of claim 1, wherein the grammatical structure is a sentence.

3. The method of claim 1, wherein the predetermined activity is a transitive activity and the type of verb is a transitive verb.

4. The method of claim 3, wherein the transitive verb constitutes the grammatical role of the verb in the grammatical structure and the second group of neurons defines the restrictions on the transitive verb relative to the other grammatical elements, such that an actor and a recipient if the activity can be defined and attributed their associated roles in the transitory activity.