Distributed knowledge-base: adaptive multi-agents approach Export

@proceedings{citeulike:4214803, abstract = {This paper studies an approach of using multi-agents theory to construct an adaptive knowledge based system. To represent the knowledge, frame base (graph) knowledge representation has been chosen. The driving force of this study is the intention of having a distributed (possibly across the net) adaptive knowledge base. The challenge of developing an adaptive knowledge base depends on how to evolve the knowledge (adaptivity) and how to control the evolution (maintain the quality of the knowledge). In this paper the manifestation of both the issues discussed on our model is addressed}, author = {Mertoguno, J. S. and Lin, Wei}, booktitle = {Intelligence and Systems, 1996., IEEE International Joint Symposia on}, citeulike-article-id = {4214803}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/IJSIS.1996.565054}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=565054}, doi = {10.1109/IJSIS.1996.565054}, journal = {Intelligence and Systems, 1996., IEEE International Joint Symposia on}, keywords = {distributed\_knowledge\_bases}, pages = {76--83}, posted-at = {2009-03-24 16:39:10}, priority = {2}, title = {Distributed knowledge-base: adaptive multi-agents approach}, url = {http://dx.doi.org/10.1109/IJSIS.1996.565054}, year = {1996} }

TY - CONF ID - citeulike:4214803 L3 - citeulike-article-id:4214803 N2 - This paper studies an approach of using multi-agents theory to construct an adaptive knowledge based system. To represent the knowledge, frame base (graph) knowledge representation has been chosen. The driving force of this study is the intention of having a distributed (possibly across the net) adaptive knowledge base. The challenge of developing an adaptive knowledge base depends on how to evolve the knowledge (adaptivity) and how to control the evolution (maintain the quality of the knowledge). In this paper the manifestation of both the issues discussed on our model is addressed JF - Intelligence and Systems, 1996., IEEE International Joint Symposia on EP - 83 TI - Distributed knowledge-base: adaptive multi-agents approach T2 - Intelligence and Systems, 1996., IEEE International Joint Symposia on SP - 76 KW - distributed_knowledge_bases AU - Mertoguno, JS AU - Lin, Wei PY - 1996/// UR - http://dx.doi.org/10.1109/IJSIS.1996.565054 ER -