Multimodal Dialogue Planning With Quantified Persistent Goals
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Solution Overview
Problem
Current dialogue systems are limited by their inability to process constraints and lack proper semantics and inference mechanisms for mental states, leading to ineffective handling of complex user inputs and user intentions.
Innovation Solution
A multimodal conversational dialogue system utilizing a belief-desire-intention (BDI) approach that represents slots as quantified persistent goals, supports constraint handling, and employs multimodal semantic parsing and fusion to determine user goals, generating collaborative dialogues based on beliefs, goals, and intentions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If frame-based or task-oriented systems are used for dialogue processing, then the system can perform action/intent classification and slot-filling, but the system cannot process constraints and is limited to simple atomic slot values
Solution Approach 1:
The patent transforms the representation of slots from simple atomic values to quantified persistent goals with temporal parameters. This allows the system to process constraints by representing them as goals with time-bound conditions, enabling complex dialogue understanding without fundamentally changing the overall system architecture.
Solution Approach 2:
The patent segments the dialogue processing into distinct components: belief representation, goal formulation, and intention execution. By separating these functions, the system can handle constraints through goal representation while maintaining the existing frame-based structure for action classification and slot-filling.
2Loss of information
If plan-based approaches with mental state expressions are used, then the system can represent user intentions, but the expressions lack proper semantics and inference mechanisms
Solution Approach 1:
The patent introduces persistent goals as an intermediary layer between belief representations and intention execution. These goals serve as semantic mediators that bridge the gap between raw mental state expressions and actionable intentions, providing proper semantics through temporal and conditional structures without requiring complex inference mechanisms.
Solution Approach 2:
The patent replaces complex logical inference mechanisms with a goal-based representation system. Instead of using elaborate inference rules to derive meaning from mental state expressions, the system directly represents intentions as quantified persistent goals with inherent semantic structure, simplifying the inference process while maintaining semantic richness.
3Productivity
If slots are represented as simple parameters, then the system can process atomic values efficiently, but the system cannot represent quantified persistent goals with temporal constraints
Solution Approach 1:
The patent makes slot representations dynamic by introducing temporal parameters and persistence conditions. Slots are no longer static parameters but evolve as persistent goals with time-bound conditions, allowing the system to represent complex user intentions while maintaining efficient processing through structured goal representations.
Solution Approach 2:
The patent nests simple parameter representations within quantified persistent goal structures. The original slot parameters are preserved as core elements but are embedded within richer goal representations that include temporal and conditional information, maintaining processing efficiency while enhancing representation capability.
Data Source
AI summary
Methods and systems for multimodal collaborative plan-based dialogue. The multimodal collaborative plan-based dialogue system includes multiple sensors to detect multimodal inputs from a user. The multimodal collaborative plan-based dialogue system includes a multimodal sematic parser that generates logical forms based on the multimodal inputs. The multimodal collaborative plan-based dialogue system includes a dialogue manager that infers a goal of the user from the logical forms and develops a plan that includes communicative actions with regard to the goal.