Minnebaserad

Minnebaserad is a Swedish term that translates to "memory-based" or "memory-driven" in English. It describes a system, process, or approach that relies heavily on the retrieval and utilization of stored information or past experiences. This concept can be applied across various domains, including computer science, psychology, and artificial intelligence.

In computer science, a memory-based system often refers to algorithms or data structures that store and recall past computations or data to improve efficiency or performance. This is distinct from purely computational approaches that recalculate everything from scratch. For example, a caching mechanism in a web browser is memory-based, storing frequently accessed web pages to reduce loading times.

In the context of psychology and cognitive science, memory-based processing involves the use of stored knowledge and past experiences to understand new information, make decisions, or guide behavior. This contrasts with stimulus-driven processing, which relies solely on immediate sensory input. Learning and skill acquisition are inherently memory-based processes, as individuals build upon a foundation of learned information.

In artificial intelligence, memory-based learning is a paradigm where a learning algorithm memorizes all training instances and classifies new instances based on their similarity to the stored examples. This approach emphasizes the importance of extensive data and efficient retrieval mechanisms. The term "minnebaserad" highlights the fundamental role of recollection and stored data in achieving desired outcomes.