Task execution and delegation by autonomous mobile agents based on intent knowledge base

• US 9,384,043 B2
• Filed: 07/21/2014
• Issued: 07/05/2016
• Est. Priority Date: 04/05/2007
• Status: Active Grant

• Current Assignee: Newton Howard
• Original Assignee: Newton Howard
• Inventors: Howard, Newton
• Primary Examiner(s): Wai, Eric C
• Assistant Examiner(s): Lee, James J
• Application Number:
  US14/336,679
• Publication Number:
  US 20140331229A1
• Time in Patent Office: 715 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 8/10 Requirements analysis; Specification techniques
• CPC Class Codes: G06F 8/31 Programming languages or programming paradigms
• CPC Class Codes: G06F 9/4862 the task being a mobile agent, i.e. specifically designed to migrate
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

A Grid application framework uses semantic languages to describe the tasks and resources used to complete them. A Grid application execution framework comprises a plurality of mobile agents operable to execute one or more tasks described in an intent based task specification language, Input/Output circuitry operable to receive input that describes a task in the task specification language, an analysis engine for generating a solution to the described task, and an intent knowledge base operable to store information contained within tasks of the plurality of mobile agents.

Claims

1. A Grid application execution framework comprising:

at least one processor;

a plurality of mobile agents, each mobile agent executable by the at least one processor, each mobile agent operable to execute one or more tasks described in an intent based task specification language, wherein the plurality of mobile agents includes a master mobile agent that subdivides a task from the one or more tasks into one or more subtasks and delegates the subtasks to other mobile agents by allocating the other mobile agents to perform the specified subtasks, wherein the other mobile agents who receive the subtasks are subordinate mobile agents to the master mobile agent and have sufficient domain and resource knowledge to further subdivide the subtasks and delegate the subdivided subtasks to other mobile agents, wherein each mobile agent of the plurality of mobile agents has a personality comprising a set of characteristics and a pattern of resource use and result delivery, wherein each mobile agent personality is matched against task or subtask requirements to determine the mobile agent best suited to each task or subtask, and wherein the intent based task specification language describes a context in which the tasks are composed and end goal the tasks are to achieve;

an input/output circuitry operable to receive as input the one or more tasks described in the intent based task specification language;

an analysis engine for generating a solution to the one or more tasks; and

an intent knowledge base operable to store information contained within tasks of the plurality of mobile agents, the stored information including task history, agent history, services information, and heuristics, wherein the plurality of mobile agents use the intent knowledge base to evaluate, delegate, and perform the tasks.