{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T00:50:46Z","timestamp":1648601446790},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1990,9]]},"abstract":"<jats:p> This paper describes Grumman\u2019s Rapid Expert Assessment to Counter Threats (REACT) project, designed to aid pilots in air combat decision making. We present a hierarchical design for a planning system which addresses some of the real-time aspects of planning for threat response. This paper concentrates on the lowest level of this hierarchy which is responsible for planning combat maneuvers at low altitude over hilly terrain when the enemy is not in sight. REACT\u2019s Lost Line of Sight module attempts to maximize the amount and depth of knowledge which can be utilized in the time available before the system must commit to its next action. It utilizes a hybrid architecture for planning decisions which incorporates multiple knowledge representations and planners based on artificial intelligence, neural networks, and decision theory. This architecture allows planning at different degrees of competence to be performed by concurrently operating planners with differing amounts of knowledge. We describe research on the planning issues in REACT as well as the associated knowledge representation and knowledge acquisition issues. In addition, we describe how work on developing terrain reasoning capability in REACT has suggested guidelines for knowledge base design and data management, system and language specifications, and planner architectures pertinent to real-time coupled systems. <\/jats:p>","DOI":"10.1142\/s0218001490000277","type":"journal-article","created":{"date-parts":[[2004,11,29]],"date-time":"2004-11-29T02:14:37Z","timestamp":1101694477000},"page":"447-471","source":"Crossref","is-referenced-by-count":0,"title":["ADAPTIVE PLANNING FOR AIR COMBAT MANEUVERING"],"prefix":"10.1142","volume":"04","author":[{"given":"IRIS COX","family":"HAYSLIP","sequence":"first","affiliation":[{"name":"Ford Aerospace Corporation (Work performed at Grumman Corporate Research Center) Colorado Springs, CO 80920, USA"}]},{"given":"JEFFREY P.","family":"ROSENKING","sequence":"additional","affiliation":[{"name":"Grumman Corporation, Data Systems Division, MSA01-26, Bethpage, NY 11714, USA"}]},{"given":"JAMES","family":"EILBERT","sequence":"additional","affiliation":[{"name":"Grumman Corporate Research Center, MSA01-26, Bethpage, NY 11714, USA"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001490000277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:15:06Z","timestamp":1565144106000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001490000277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1990,9]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1990,9]]}},"alternative-id":["10.1142\/S0218001490000277"],"URL":"https:\/\/doi.org\/10.1142\/s0218001490000277","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1990,9]]}}}