| Optimizing Heavily Loaded Agents |
10 JUN 2003 |
6 pages |
| Authors:
V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK DEPT OF COMPUTER SCIENCE
|
 | We develop algorithms to help scale software agents built on top of heterogeneous, legacy codebases. The algorithms apply to large data sets, to large volumes of workloads on agents, as well as algorithms for computationally intensive functions. |
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| Distributed Multimedia Reasoning |
31 DEC 1998 |
7 pages |
| Authors:
V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK
|
| The research performed under this grant led to the development of abstract models of multimedia data, concrete ways of representing and indexing such multimedia data on a computer, querying such multimedia data using a singleunified query language, assembling presentations comprised of a variety of multimedia objects, and delivering such presentations across a distributed network. In effect, the work developed a firm theoretical foundation for reasoning about multimedia databases. |
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| Intelligent Agents for the Digital Battlefield |
NOV 1998 |
14 pages |
| Authors:
V. S. Subrahmanian; J. Hendler; MARYLAND UNIV COLLEGE PARK
|
| In this report we describe some of the theoretical and practical underpinnings of a joint University of Maryland/Army Research Laboratory Project to develop a scalable architecture for supporting intelligent agent applications. The main focus of our long term research is threefold: (1) to develop the theoretical foundations of intelligent agent systems, (2) to concurrently build prototype implementations of such agent based systems, and (3) to concurrently develop applications in the ... |
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| Asynchronous Distributed, Scalable Algorithms for Intelligent Dispersed,Hybrid Knowledge Bases |
JUL 1998 |
30 pages |
| Authors:
V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK OFFICE OF RESEARCH ADMINISTRATION AND ADVANCEMENT
|
| Integrating data and knowledge from multiple heterogeneous sources, each one possibly with a different underlying data model, is not only an important aspect of automated reasoning, but also of retrieval systems where queries can span such multiple sources. These sources can be as different as relational or deductive databases, object bases, constrained data (e.g., knowledge bases), structured files (e.g., spreadsheets), or even arbitrary program ... |
|
| Logic-based Real Time Problem Solving Systems |
31 JAN 97 |
11 pages |
| Authors:
V. S. Subrahmanian; James Hendler; MARYLAND UNIV COLLEGE PARK
|
| The problem of guaranteeing safety in a class of robot motion problems has been studied. Necessary and sufficient conditions for ensuring safety have been determined. Functional relationships between the number, size, and speed of obstacles and the robot's maximum speed to ensure safety have been developed. |
|
| Workshop on Multimedia Database Systems. |
21 NOV 1995 |
130 pages |
| Authors:
V. S. Subrahmanian; Satish K. Tripathi; MARYLAND UNIV COLLEGE PARK DEPT OF COMPUTER SCIENCE
|
| The First International Workshop on Multimedia Information Systems was held in the Doubletree Hotel National Airport, Arlington, Virginia from September 28th to 30th, 1995. The workshop was chaired by Prof V.S. Subrahmanian and Prof. S.K. Tripathi. The workshop was sponsored by the Army Research Office and the University of Maryland Institute for Advanced Computer Studies. There were about 60 participants from academic institutions, research laboratories, the Army and the industry. ... |
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| Computation and Implementation of Non-Monotonic Deductive Databases |
15 JUL 95 |
14 pages |
| Authors:
V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK
|
| This is the final report on a 3-year grant from tne Army Research Office to tne University of Maryland to conduct research in the area of "Computation and Implementation of Nonmonotonic Deductive Databases." The main goal of the research was to study methods of efficient, scalable reasoning about situations where only incomplete and/or -uncertain information is available. Towards this end, we conducted research on databases that contain incomplete symbolic information-such ... |
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| Computation and Implementation of Non-Monotonic Deductive Databases |
15 JUL 95 |
14 pages |
| Authors:
V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK DEPT OF COMPUTER SCIENCE
|
| This is the final report on a 3-year grant from the Army Research Office to the University of Maryland to conduct research in the area of 'Computation and Implementation of Non-Monotonic Deductive Databases.' The main goal of the research was to study methods of efficient, scalable reasoning about situations where only incomplete and/or uncertain information is available. Towards this end, we conducted research on databases that contain incomplete symbolic information-such ... |
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| Automated Site Selection of Air Defense Missile Batteries |
APR 94 |
10 pages |
| Authors:
John Benton; V. S. Subrahmanian; ARMY TOPOGRAPHIC ENGINEERING CENTER FORT BELVOIR VA
|
| Determining optimum locations for a network of Patriot and Hawk missile batteries is currently a time-consuming, man-power intensive task that has to be frequently repeated whenever missiles are deployed to protect allied forces. This paper presents an automated method for siting a network of missile batteries and is currently being implemented. An optimum solution will be computed that satisfies the constraints of this problem. These constraints include (1) restrictions on ... |
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| Using Hybrid Knowledge Bases for Missile Siting Problems |
94 |
|
| Authors:
John Benton; V. S. Subrahmanian; ARMY TOPOGRAPHIC ENGINEERING CENTER ALEXANDRIA VA
|
 | Hybrid knowledge bases are a formalism for integrating multiple representations of knowledge and data. HKBs provide a uniform framework for integrating uncertain information (as is often the case in terrain reasoning), temporal information (needed for weather effects, etc), and numeric constraint solving capabilities (for situation assessment). We show how the HKB formalism may be applied to solve the problems of placing Patriot and Hawk missile batteries in a specified terrain ... |
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| Combining Knowledge Bases Consisting of First Order Theories |
SEP 90 |
28 pages |
| Authors:
Chitta Baral; Sarit Kraus; Jack Minker; V. S. Subrahmanian; MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES
|
| This document discusses the construction of an expert system by encoding the knowledge of different experts. Suppose the knowledge provided by each expert is encoded into a knowledge base. Then the process of combining the knowledge of these different experts is an important and non-trivial problem. We study this problem here when the expert systems are considered to be first order theories. We present techniques for resolving inconsistencies in such ... |
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