Unified Cognitive Assistant for Multi-Domain Coordination
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Solution Overview
Problem
Conventional embodied cognition systems are limited to single domains and objects, failing to provide unified cognition across multiple distinct domains and entities, which restricts their ability to offer integrated and coherent cognitive assistance.
Innovation Solution
A computer-implemented method and system that creates an association between an entity and a personalized embodied cognition manager, allowing the coordination of multiple cognitive assistant agents from different domains to achieve unified cognition, enabling the integration of various cognitive capabilities across multiple embodied cognition object instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional embodied cognition systems focus on a single object with preloaded functions, then the system structure remains simple and easy to implement, but the system cannot provide unified cognition across multiple distinct domains
Solution Approach 1:
The system segments the embodied cognition functionality into separate domain-specific cognitive assistant agents (e.g., shopping agent, banking agent, health agent). Each agent handles a specific domain, allowing the system to cover multiple domains without creating a monolithic complex structure. The personal cognitive agent coordinates these segmented agents to provide unified cognition.
Solution Approach 2:
The personal cognitive agent serves as a universal coordinator that manages multiple domain-specific cognitive assistant agents. This universal component enables the system to handle various domains (shopping, banking, health, etc.) through a single coordinating interface, achieving multi-domain capability without requiring separate systems for each domain.
2Adaptability or versatility
If a single embodied cognition object interacts with multiple generic users, then the implementation remains straightforward, but the system cannot provide personalized cognitive assistance
Solution Approach 1:
The system creates personalized associations between each entity and their own personal cognitive agent, with customized configurations for each user's preferences, goals, and domain selections. Each user receives tailored cognitive assistance rather than generic interactions, with the personal cognitive agent configured specifically for that user's needs.
3Adaptability or versatility
If the system coordinates multiple cognitive assistant agents from different domains, then unified cognition across domains is achieved, but the coordination complexity increases
Solution Approach 1:
The personal cognitive agent acts as an intermediary that coordinates between the user and multiple domain-specific cognitive assistant agents. It receives user input, identifies goals, selects relevant domain agents, and integrates their responses into unified cognitive assistance, simplifying the coordination complexity by providing a single mediation layer.
4Adaptability or versatility
If conventional systems use a single embodied cognition object, then the system is easy to deploy, but it cannot provide integrated cognitive assistance across multiple entities
Solution Approach 1:
The system architecture is dynamic and scalable, allowing users to selectively enable or disable domain-specific cognitive assistant agents based on their needs. Users can add or remove domains (shopping, banking, health, etc.) at different points in time, and the personal cognitive agent dynamically adjusts its coordination accordingly, providing flexibility without requiring a fixed complex architecture.
Data Source
AI summary
Provided are techniques for unified cognition for a virtual personal cognitive assistant. A personal cognitive agent creates an association with an entity and a personalized embodied cognition manager that includes an entity agent registry, wherein the personal cognitive agent comprises a virtual personal cognitive assistant. Selection of a first cognitive assistant agent from a first domain and a second cognitive assistant agent from a second domain are received. Input from the entity is received. A goal based on the input is identified. Unified cognition is provided by coordinating the first cognitive assistant agent of the first domain and the second cognitive assistant agent of the second domain to generate one or more actions to meet the goal. A response is provided to the input with an indication of the goal.


