Concepts · Humans and machines
Concepts
Foundational concepts for studying memory as a cognitive, behavioral, organizational, and computational phenomenon.
Summary Capsule
Deep dive into ACT-R Memories, Cognition and other converging areas of Artificial Intelligence.
Read our series on the ACT-R architecture series to understand memory, retrieval, action selection, and how those ideas can inform a safe shared AI memory for organizational teams. Quickly learn the memory specific terms and definitions to advance your knowledge of modern AI systems.
ACT-R Resource Series
A resource series on ACT-R, memory, conscious access, automaticity, activation, and AI memory design.
ACT-R Memory vs Agent Memory
A clear distinction between ACT-R-inspired memory architecture and agent memory infrastructure.
RAG vs AI Memory
A practical distinction between retrieving existing information and building compounding organizational memory.
Private AI Platform
What teams should expect from private AI infrastructure when data ownership, governance, and continuity matter.
Achiral Memory: The continuity layer
True memory is not simply record-keeping or retrieval. It is the mechanism that carries intelligence forward, allowing future behavior to emerge from accumulated experience. Memory cuts across multiple disciplines: cognitive science, neuroscience, behavioral psychology, mathematics, biological chemistry, and computer science. Achiral brings these disciplines together into a practical continuity layer for artificial intelligence systems to scale safely.
| Perspective | Central question |
|---|---|
| Cognitive architecture | What must be represented, retrieved, activated, and acted on for a system to behave with continuity rather than isolated response? |
| Behavioral adaptation | How does repeated experience change future choices, priorities, habits, and interventions without requiring every rule to be restated? |
| Organizational memory | How do decisions, context, exceptions, and handoffs become durable shared state instead of disappearing across tools and conversations? |
| Computational retrieval | When should a system search, rank, reinforce, forget, or withhold context so memory remains useful instead of becoming noise? |
| Governance and safety | How can compounding memory stay permissioned, inspectable, reversible, and aligned with human review as it begins to shape action? |