162,147 research outputs found
Developing Industrial Multi-Agent Systems (Invited Paper)
No full textThe development and deployment of multi-agent systems in real world settings raises a number of important research issues and problems which must be overcome if Distributed AI (DAI) is to become a widespread solution technology. Work undertaken in the context of the ARCHON project has provided a number of important insights into these issues. By providing an in depth analysis of ARCHON’s electricity transportation management application, this paper draws together many of the experiences obtained when building one of the world's first operational DAI systems
Visualizing the Marrow of Science
No full textThis study proposes a new methodology that allows for
the generation of scientograms of major scientific domains,
constructed on the basis of cocitation of Institute
of Scientific Information categories, and pruned using
PathfinderNetwork, with a layout determined by algorithms
of the spring-embedder type (Kamada–Kawai),
then corroborated structurally by factor analysis. We
present the complete scientogram of the world for the
Year 2002. It integrates the natural sciences, the social
sciences, and arts and humanities. Its basic structure
and the essential relationships therein are revealed,
allowing us to simultaneously analyze the macrostructure,
microstructure, and marrow of worldwide scientific
output
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
GRATE: A General Framework for Cooperative Problem Solving
No full textAs the deployment of expert systems has spread into more complex and sophisticated environments, so inherent technological limitations have been observed. As a technique for overcoming this complexity barrier, researchers have started to build systems composed of multiple, cooperating components. These systems tend to fall into two distinct categories: systems which solve a particular problem, such as speech recognition or vehicle monitoring, and systems which are general to some extent. GRATE is a general framework which enables an application builder to construct multi-agent systems for the domain of industrial process control. Unlike other cooperation frameworks, GRATE embodies a significant amount of inbuilt knowledge related to cooperation and control which can be utilised during system building. This approach offers a paradigm shift for the construction of multi-agent systems in which the role of configuring preexisting knowledge becomes an integral component. Rather than starting from scratch the designer can utilise the inbuilt knowledge and augment it, if necessary, with domain specific information. The GRATE architecture has a clear separation of concerns and has been applied to real-world problems in the domains of electricity transportation management and diagnosis of a particle accelerator beam controller
Murder on the mountain: author talk with Peter J. Wosh
No full textAuthor talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
Mr. Melvin J. Collier, RWWL AUC, June 2011
No full textThis video is a conversation with Mr. Melvin J. Collier. Mr. Collier talks about his book, "From Mississippi to Africa: A Journey of Discovery". Daniel Le, AUC Woodruff Library, is the interviewer
Inter-institutional scientific collaboration: an approach from social network
No full textThis paper presents a tool that can be used to characterize, analyze and interpret the
patterns of collaboration among institutions by means of the visual display of scientific
information. These graphic representations allow for a combined analysis of a given
institution in the system of relations (network), and of the particular attributes of that
institution (indicators). The tool affords the possibility of regenerating the network to
make any number of aggregates appear or disappear, thus allowing one to focus on
institutional sectors, geographic regions, etc. It also allows for analysis of sectorial
interaction, institutional backing of research, and the influence of geographic proximity,
linguistic affinity, or regional politics. This is indeed a versatile analytical tool, and it is
bound to prove its potential for evaluating patterns of collaborative research, development
and innovation
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