Distributed Autonomous Agent Communication Through Dialogue Graphs

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Solution Overview

Problem

Existing systems face challenges in handling large-scale deployments of autonomous agents due to centralized control bottlenecks, inefficiencies, and difficulty in coordinating decentralized actions, leading to performance degradation and lack of robustness in interactions.

Innovation Solution

A decentralized computing network with a software framework that enables stateful communication among computing nodes, using pattern generation and instantiation modules, dialogue models, and domain-independent protocol specifications to facilitate structured interactions among autonomous agents.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a centralized architecture is used to control autonomous agents, then coordination and control are simplified, but performance degrades and bottlenecks occur in large-scale deployments

Engineering Contradiction:

Improvecoordination controlVSAvoidsystem performance

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The patent divides the centralized control architecture into distributed autonomous agents that operate independently. Each agent is segmented as an autonomous unit with its own decision-making capabilities, eliminating the single-point bottleneck while maintaining coordination through standardized communication protocols and shared virtual environment interactions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transitions from a vertical hierarchical control structure to a horizontal peer-to-peer network dimension. Autonomous agents operate at the same level in a distributed network, communicating through standardized interfaces rather than through a centralized hierarchy, thereby improving scalability and performance.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If autonomous agents interact without a defined message structure, then interaction flexibility increases, but complexity increases and coherence decreases

Engineering Contradiction:

Improveinteraction flexibilityVSAvoidinteraction complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal standardized message structure that serves multiple functions: it defines coherent interaction patterns, maintains flexibility for different agent types, and provides a common interface for all agent communications. This single standardized protocol handles diverse interaction scenarios without requiring custom message formats for each case.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses parameterized message templates that maintain a consistent structural framework while allowing flexible parameter substitution. The message structure defines fixed fields for coherence (sender, receiver, message type) and variable fields for flexibility (task-specific parameters), enabling adaptable interactions within a structured framework.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If each developer defines their own message structure, then customization to specific needs is enabled, but system-wide coherence and robustness decrease

Engineering Contradiction:

Improvecustomization capabilityVSAvoidsystem coherence

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent provides a universal message structure that serves all developers and agent types. This single standardized protocol handles diverse customization needs through parameterization rather than structural variation, ensuring system-wide coherence while enabling individual agents to be customized within the unified framework.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The standardized message structure acts as an intermediary layer between individual agent implementations and the overall system. It mediates communications by translating diverse agent-specific requirements into a common format, ensuring robust and coherent interactions without requiring each developer to define custom message structures.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250301038A1Distributed computer method and system enabling application of autonomous agents

Publication Date: 2025.09.25 ASSMBL AI LTD

AI summary

Disclosed is a method and a system that presents a framework for efficient agent communication, focusing on dialogues represented as directed graphs (DGs) to govern message flows. Each dialogue, embodying potential messages and replies, is managed at a session level, allowing multiple concurrent sessions between agent pairs. Invalid message transitions within sessions are gracefully handled with error messages. Initially offering fixed communication patterns, developers fill these patterns with concrete model definitions, customizing communication flows. Explicit decorators link message transitions to models, providing clear guidance. Sessions are asynchronous, supporting resumption post-interruption and enforced timeouts for completion. A dedicated storage system retains session information for context resumption and developer-specific data. The method ensures concurrency, maintaining valid global states amidst limited resource management by the autonomous agents. Interoperability hinges on concrete pattern instantiation, facilitating distinct domain-specific communication. The framework fosters structured, resilient, and customizable agent interactions, advancing efficient AI-driven communication paradigms.