TY - GEN
T1 - A flexible marker-passer for semantically weak search
AU - Gary, Kevin
AU - Elgot-Drapkin, Jennifer J.
N1 - Funding Information:
The identification of relevant information in a large knowledge base is a search problem with wide applicability in AI. One proposed technique for addressing this problem is a parallel search technique known as marker-passing. In this paper we present the design of a marker-passing mechanism which is embedded in a commonsense reasoning model, RAB1T (.Reasoning About Beliefs In Time). The unique design we present avoids traditional drawbacks in marker- *Supported in part by National Science Foundation under grant # IRI-9210906 and by Arizona Stale University's Faculty-Grant-In-Aid Program. )Global Associates, Ltd. 2300 Clarendon Blvd., Arlington, VA 22201; internet:gary@enws320.eas.asu.edu t Dept. of Computer Science and Eng., Arizona State Univ., Box 875406, Tempe, AZ 85287-5406;interneudrapkin@asal.edu
Publisher Copyright:
© 1994 ACM.
PY - 1994/4/6
Y1 - 1994/4/6
N2 - New challenges posed in many areas of AI research represent a departure from domain-specific applications-To systems that can more effectively cope with larger and more uncertain domains. Such knowledge intensive applications require the easy and efficient utilization of tremendous amounts of knowledge. The magnitude of knowledge and often stringent response constraints that characterize such applications poses a computationally prohibitive search problem. A proposed technique for addressing this problem is a parallel search technique known as marker-passing. Past work in markerpassers has shown they often return too much information, becoming a bottleneck of the system in which they are embedded. This paper presents the design of a flexible marker-passing mechanism embedded in a commonsense reasoning model, RABIT (Reasoning About Beliefs In Time), which overcomes this difficulty. The unique design we present avoids traditional drawbacks in markerpassing implementations by emphasizing search over inference as the goal of the marker-passing process. This marker-passing design is powerful due to its separation of the marker-passing process from the knowledge contained in the network itselL thus allowing for its potential use not only in the area of commonsense reasoning, but also in many other domains, including, but not limited to, natural language processing, general-purpose planning, and robot navigation.
AB - New challenges posed in many areas of AI research represent a departure from domain-specific applications-To systems that can more effectively cope with larger and more uncertain domains. Such knowledge intensive applications require the easy and efficient utilization of tremendous amounts of knowledge. The magnitude of knowledge and often stringent response constraints that characterize such applications poses a computationally prohibitive search problem. A proposed technique for addressing this problem is a parallel search technique known as marker-passing. Past work in markerpassers has shown they often return too much information, becoming a bottleneck of the system in which they are embedded. This paper presents the design of a flexible marker-passing mechanism embedded in a commonsense reasoning model, RABIT (Reasoning About Beliefs In Time), which overcomes this difficulty. The unique design we present avoids traditional drawbacks in markerpassing implementations by emphasizing search over inference as the goal of the marker-passing process. This marker-passing design is powerful due to its separation of the marker-passing process from the knowledge contained in the network itselL thus allowing for its potential use not only in the area of commonsense reasoning, but also in many other domains, including, but not limited to, natural language processing, general-purpose planning, and robot navigation.
KW - Commonsense reasoning
KW - Connectionist models
KW - Knowledge representation
KW - Marker-passing
KW - Search
UR - http://www.scopus.com/inward/record.url?scp=85039438104&partnerID=8YFLogxK
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U2 - 10.1145/326619.326765
DO - 10.1145/326619.326765
M3 - Conference contribution
AN - SCOPUS:85039438104
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 313
EP - 317
BT - 1994 ACM Symposium on Applied Computing, SAC 1994
PB - Association for Computing Machinery
T2 - 1994 ACM Symposium on Applied Computing, SAC 1994
Y2 - 6 March 1994 through 8 March 1994
ER -