01400nas a2200229   4500000000100000000000100001008004100002260001200043653001300055653002400068653001400092653001000106653001100116100002500127700002400152245006500176856009700241300001000338490000600348520080200354022001401156       2013                            d  c09/201310aSecurity10aMulti-Agent Systems10aInference10aMerge10aFusion1 aJose Miguel Castillo1 aRafael Solis-Montes00aAn Agent-Based Approach for Data Fusion in Homeland Security  uhttp://www.ijimai.org/journal/sites/default/files/files/2013/07/ijimai2013_3_6_pdf_21581.pdf  a44-490 v23 aThis article presents an agent-based solution for data fusion in Homeland Security. Communication technology has been developed very fast in the last decades. We can get lots of data in milliseconds. Our current problem is to process such amounts of data in order to provide useful information. We have to focus our effort on developing intelligent information systems able to handle big amounts of data extracting or revealing relations among data and able to produce information easily understandable for the human user. That is the case of data fusion in tactical operations, especially in the field of defense and Homeland security. Our research is focused on obtaining a Multi-agent system able to inference future enemy’s actions or behaviors from data received from heterogeneous sensors.  a1989-1660