Feature interaction resolution using fuzzy rules

• US 7,469,236 B2
• Filed: 06/21/2005
• Issued: 12/23/2008
• Est. Priority Date: 07/09/1999
• Status: Expired due to Term

• Current Assignee: Mitel Networks Corporation
• Original Assignee: Mitel Networks Corporation
• Inventors: Gray, Tom, Karmouch, Ahmed, Ahmer, Magdi, Mankovskii, Serge
• Primary Examiner(s): Hirl; Joseph P
• Application Number:
  US11/157,573
• Publication Number:
  US 20050240547A1
• Time in Patent Office: 1,281 Days
• Field of Search: 706/14, 706/12, 706/46, 706/52
• US Class Current: 706/14
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: H04M 3/4217 Managing service interactions
• CPC Class Codes: H04Q 3/0041 involving techniques for avoiding interaction of call service features
• CPC Class Codes: Y10S 706/902 Application using ai with detail of the ai system

Abstract

A method of detecting feature interaction conflicts between agents in response to events in a multi-agent system comprises posting said events as tuples and event requests as anti-tuples from said agents in said multi-agent system, receiving said events and said event requests in a tuple space, generating responses to each of said agents for said events which match said event requests of said agents, wherein feature interaction conflict is detected when more than one of said agents are to exert control over an event.

Claims

1. A method of handling call events in a communication system having multiple agents, comprising:

assigning fuzzy parameters of various degrees of truth for defining user preferences to attributes of rules associated with responses of said agents to said call events;

modifying said various degrees of truth based on intervening events; and

resolving interaction conflict between said agents by selecting a response having the highest degree of truth, wherein said intervening events include state of said agents, and wherein said state includes busy is a busy state indicative of the agent communicating by a telephone device.

2. A method of handling call events in a communication system having multiple agents, comprising:

assigning fuzzy parameters of various degrees of truth for defining user preferences to attributes of rules associated with responses of said agents to said call events;

modifying said various degrees of truth based on intervening events; and

resolving interaction conflict between said agents by selecting a response having the highest degree of truth, wherein said call events represent one of user actions, system actions or agent requests.

3. A method of handling call events in a communication system having multiple agents, comprising:

assigning fuzzy parameters of various decrees of truth for defining user preferences to attributes of rules associated with responses of said agents to said call events;

modifying said various degrees of truth based on intervening events; and

resolving interaction conflict between said agents by selecting a response having the highest decree of truth, wherein said fuzzy parameters include an importance parameter that is indicative of the importance a user gives to a particular call.