Automated Plan Generation with Entity Contribution Tracking
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Solution Overview
Problem
Current automated planning systems lack effective mechanisms to estimate and visualize collaboration between entities and agents, which hinders the generation of optimized plans and efficient problem-solving processes.
Innovation Solution
A system comprising a planner component and a tracker component that generates and revises plans based on input data from an instance model, tracks contributions from entities, and visualizes collaboration through a contribution calculation and visualizer component, facilitating bi-directional communication and dynamic adjustment of plan contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated planning systems operate without collaboration tracking mechanisms, then system simplicity is maintained, but plan optimization and problem-solving effectiveness deteriorate
Solution Approach 1:
The system is divided into distinct functional components: a planner component that generates plans, a tracker component that monitors contributions, and a visualizer component that displays collaboration data. This segmentation allows each component to specialize in specific tasks, improving overall plan generation efficiency while keeping individual component complexities manageable.
Solution Approach 2:
The tracker component acts as an intermediary between the planner and the visualizer, capturing contribution data from the planning process and transforming it into visualized collaboration metrics. This intermediary layer enables automated collaboration tracking without requiring direct complex interactions between the planner and visualizer systems.
2Measurement precision
If collaboration tracking and visualization components are added to monitor entity contributions, then plan optimization and resource allocation improve, but system complexity increases
Solution Approach 1:
The tracker component automatically monitors and records contributions from entities during the planning process without requiring manual intervention. The system self-services by capturing collaboration data as plans are generated and revised, achieving precise contribution measurement while minimizing the operational complexity of data collection.
Solution Approach 2:
The visualizer component provides feedback by displaying tracked contribution data, enabling stakeholders to understand entity roles and optimize resource allocation. This feedback mechanism improves measurement utility by transforming raw tracking data into actionable visual insights about collaboration patterns.
Data Source
AI summary
Techniques facilitating estimating and visualizing entity to agent collaboration to facilitate automated plan generation are provided. In one example, a computer-implemented method comprises generating, by a device operatively coupled to a processor, a plan based on receiving first input data associated with an instance model. The computer-implemented method also comprises generating, by the device, a revised plan based on receiving second input data, associated with a revised instance model, from an entity. Furthermore, the computer-implemented method comprises, tracking, by the device, a contribution of the entity as a function of a modification from the instance model to the revised instance model.