Extensible Agent System Dynamic Component Selection
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Solution Overview
Problem
Conventional software agents are inflexible and require significant programmer modifications to operate in different environments or access diverse data sources, limiting their adaptability and efficiency.
Innovation Solution
An extensible agent system that dynamically selects and configures components based on client requests and environment characteristics, allowing operation in various environments without manual code changes, including web-enabled and non-web-enabled settings, and access to multiple relational database systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional software agents are customized for specific environments, then they can satisfy particular goals and tasks effectively, but they cannot operate in different environments without programmer modifications
Solution Approach 1:
The patent implements dynamic component selection where the agent system automatically configures itself based on environment characteristics detected at runtime. The system determines environment type (web-enabled or non-web-enabled) and dynamically selects appropriate agent components from available modules, allowing the same agent code to adapt to different environments without programmer modification.
Solution Approach 2:
The patent creates a universal agent architecture that can operate across multiple environment types (web-enabled and non-web-enabled) and access diverse data sources (different relational database systems) through a common interface. The agent system serves multiple functions by selecting from a library of environment-specific components, eliminating the need for separate customized agents for each environment.
2Reliability
If multiple specialized agents are created for different database types, then each agent can access its specific database effectively, but development time and costs increase
Solution Approach 1:
The patent segments the agent system into independent, interchangeable components where each component handles a specific function (database access, web interface, etc.). This modular architecture allows the system to reuse common components across different environments while only swapping out environment-specific modules, reducing development time compared to creating entirely separate agents for each database type.
Solution Approach 2:
The patent changes the configuration parameters of the agent system at runtime based on the target environment. Instead of creating different agent code for each database type, the system modifies which components are activated and how they are configured, allowing the same agent framework to access different relational database systems efficiently.
3Reliability
If agents are highly specialized for specific tasks, then they can execute their designated functions reliably, but they require significant programmer modifications to manage different environments
Solution Approach 1:
The patent implements self-service configuration where the agent system automatically detects environment characteristics and configures itself by selecting appropriate components without requiring programmer intervention. The system determines whether it operates in a web-enabled or non-web-enabled environment and automatically configures the necessary components, eliminating the need for programmers to manually modify agent code for different environments.
Data Source
AI summary
A method for providing an extensible agent comprises receiving a request from a client. One or more environment characteristics is then determined. At least a portion of a plurality of agent components are dynamically selected based on the client request and the environment characteristics. The client request is processed using the selected agent components.