Metacognition
A Conscious AI Architecture
Part of what differentiates Levia from a usual agent runtime is it's ability to embed metacognitive abilities in an agent, or the ability to "think about thinking". With Levia's engine, agents can:
Dynamically learn and orchestrate new tools
Automatically run test suites during tool integration and user queries
Leverage its memory system to optimize tool usage and workflows
This form of metacognition allows Levia to drive optimizations across multiple dimensions, including:
Intent interpretation: Enhancing accuracy in understanding user queries
Tool orchestration:
Updating selection criteria to choose the most appropriate toolset
Refining the sequence and combination of tool executions
Memory management:
Pruning inactive memory branches
Indexing past interactions for personalized experiences
Tool integration:
Running automated test suites (See "Integrating a New Tool" for details)
Metacognitive States
A core part of Levia's metacognition is enabled by the use of "cognitive states". Cognitive states allow the system to switch between different modes of reasoning and execution, analogous to how humans adapt their focus to tackle the task at hand. Levia operates in three primary states:
Conversational State:
Handles simple dialogue processing
Engages in natural language interactions
Operational Command State:
Executes structured tasks and complex operations
Manages multi-step workflows
Multi-Tool State:
Coordinates multiple tools simultaneously
Monitors data flow and state persistence
Recovers from state disruptions
Transparency is crucial to Levia's mission. The engine outputs cognitive streams (logs) and maintains detailed reasoning traces, allowing developers to fine-tune workflows and responses based on captured insights.
Information about how Levia achieves this is detailed in our Core Architecture.
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