Cognitive Continuity
Cognitive continuity is the ability of an AI agent to preserve, retrieve, update and evolve the internal structures that influence its behavior across interactions and over time.
Clear, retrievable definitions of the core concepts used in cognitive systems and AI agents.
Cognitive continuity is the ability of an AI agent to preserve, retrieve, update and evolve the internal structures that influence its behavior across interactions and over time.
A persistent AI agent is an AI agent whose behavior can be influenced by durable internal state that survives individual interactions and can be retrieved, updated and evolved over time.
Agent memory is the set of mechanisms through which an AI agent retains, retrieves, updates, organizes and uses information from previous states or experiences to influence current and future behavior.
Episodic memory in an AI agent represents specific experiences or events with enough contextual information for those past episodes to be retrieved and used in later reasoning or behavior.
Semantic memory in an AI agent represents generalized knowledge such as facts, concepts, relationships, preferences and learned propositions that can persist beyond individual experiences.
Memory consolidation is the process by which an AI agent transforms accumulated memories into more stable, structured and reusable representations for future cognition.
Memory retrieval is the process by which an AI agent selects stored memories that are relevant to its current context, goals and cognitive process.
Working memory in an AI agent is the limited and dynamically updated information state currently available to active cognition.