logiconmemory
Logiconmemory is a concept in computer science and cognitive science that describes a design which integrates logical reasoning with persistent memory storage. It envisions systems that maintain a structured, queryable memory of facts, rules, and inference traces while a reasoning component derives new conclusions from the stored knowledge. The term combines elements of logic-based computation with memory-centric architectures, aiming to support explainable, stateful artificial intelligence.
In typical proposals, logiconmemory consists of a memory subsystem that holds knowledge representations—often in the form
Operations in a logiconmemory framework emphasize persistent state and traceability. Inference results are stored alongside supporting
Applications include knowledge management, question answering, automated planning, reasoning over scientific data, and robotics. Potential benefits
See also: knowledge graphs, memory-augmented neural networks, symbolic AI, logic programming, external memory.