Intent Negotiation Signaling for Redundant Parsing Reduction
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Solution Overview
Problem
Existing intent negotiation solutions cause a significant waste of resources on the L-IDN side due to repeated lexical and syntactic parsing and intent translation, even when sub-intents have the same action and object.
Innovation Solution
The proposed method involves sending sub-intents with indication information to indicate they have the same action and object, omitting redundant parsing and translation, and using estimated negotiation times to optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated intention negotiation systems are implemented to improve efficiency, then productivity increases, but device complexity and difficulty of detecting and measuring intentions increase
Solution Approach 1:
The patent introduces an intention negotiation system as an intermediary layer between autonomous agents, using standardized protocols (STANEB, STANEC, STANES) to mediate intention exchange. This mediator structure manages the complexity by providing standardized interfaces and communication rules, allowing automated negotiation without requiring complex custom integration between each agent pair.
Solution Approach 2:
The system implements feedback mechanisms where agents exchange intention information through structured protocols, allowing each agent to adjust its behavior based on received intentions. The feedback loop includes intention declaration, recognition, and response phases, enabling adaptive negotiation while maintaining manageable system complexity through iterative information exchange.
2Productivity
If automated intention negotiation systems are implemented to improve productivity, then negotiation speed increases, but measurement precision of intentions deteriorates
Solution Approach 1:
The patent transforms subjective intentions into structured parameters through standardized protocols. Intensions are converted into measurable categories (STANEB for basic intentions, STANEC for contextual intentions, STANES for situational intentions), allowing automated processing while maintaining precision through systematic parameterization of intention data.
3Reliability
If comprehensive intention information is exchanged to improve negotiation quality, then reliability increases, but loss of time increases
Solution Approach 1:
The patent segments intention information into hierarchical categories: basic intentions (STANEB), contextual intentions (STANEC), and situational intentions (STANES). This segmentation allows agents to exchange only the necessary level of detail for each negotiation context, ensuring comprehensive information when needed while reducing time overhead through selective information exchange at appropriate granularity levels.
Data Source
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AI summary
An intent negotiation method and apparatus are provided. The method includes: A first network element sends a first sub-intent of a first intent to a second network element, and sends a second sub-intent of the first intent and indication information to the second network element, where the indication information is used to indicate that the first sub-intent and the second sub-intent have a same action and a same object. The foregoing method may be used to resolve a problem that an existing intent negotiation solution causes a large waste of resources on an L-IDN side.