{"type":"ScholarlyArticle","title":"Self-Managing Associative Memory for Dynamic Acquisition of Expertise in High-Level Domains","authors":[{"name":"Jacob Beal","slug":"jacob-beal","given":"Jacob","family":"Beal","affiliation":""}],"abstract":"Self-organizing maps can be used to implement an associative memory for an intelligent system that dynamically learns about new high-level domains over time. SOMs are an attractive option for implementing associative memory: they are fast, easily parallelized, and digest a stream of incoming data into a topographically organized collection of models where more frequent classes of data are represented by higher-resolution collections of models. Typically, the distribution of models in an SOM, once developed, remains fairly stable, but developing expertise in a new high-level domain requires altering the allocation of models. We use a mixture of analysis and empirical studies to characterize the behavior of SOMs for high-level associative memory, finding that new high-resolution collections of models develop quickly. High-resolution areas of the SOM decay rapidly unless actively refreshed, but in a large SOM, the ratio between growth rate and decay rate may be high enough to support both fast learning and long-term memory.Jacob Beal","doi":null,"url":"https://ijcai.org/proceedings/2009/169","pdf":"https://ijcai.org/proceedings/2009/0169.pdf","markdown":"https://ijcai.org/proceedings/2009/169.md","bibtex":"https://ijcai.org/proceedings/2009/bibtex/169","volume":{"slug":"2009","title":"Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2009","url":"https://ijcai.org/proceedings/2009/","year":2009,"location":"Pasadena, California, USA","dates":"","editors":"Hiroaki Kitano","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":169,"pages":{"first":998,"last":1002},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}