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Routing in a Delay Tolerant Network

by Sushant Jain, Kevin Fall, Rabin Patra , 2004
"... We formulate the delay-tolerant networking routing problem, where messages are to be moved end-to-end across a connectivity graph that is time-varying but whose dynamics may be known in advance. The problem has the added constraints of finite buffers at each node and the general property that no con ..."
Abstract - Cited by 621 (8 self) - Add to MetaCart
algorithms and use simulations to compare their performance with respect to the amount of knowledge they require about network topology. We find that, as expected, the algorithms using the least knowledge tend to perform poorly. We also find that with limited additional knowledge, far less than complete

A model of growth through creative destruction

by Philippe Aghion, Peter Howitt , 1990
"... This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogeneous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowledge and the resulting process or industrial innovations. This has both ..."
Abstract - Cited by 1941 (27 self) - Add to MetaCart
This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogeneous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowledge and the resulting process or industrial innovations. This has both

Ecology of the family as a context for human development: Research perspectives.

by Urie Bronfenbrenner , Josephine Arastah , Mavis Hetherington , Richard Lerner , Jeylan T Mortimer , Joseph H Pleck , Lea Pulkinnen , Michael Rutter , Klaus Schneewind , Diana Slaughter - Developmental Psychology, , 1986
"... This review collates and examines critically a theoretically convergent but widely dispersed body of research on the influence of external environments on the functioning of families as contexts of human development. Investigations falling within this expanding domain include studies of the interac ..."
Abstract - Cited by 518 (0 self) - Add to MetaCart
; and public policies affecting families and children. A second major focus is on the patterning of environmental events and transitions over the life course as these affect and are affected by intrafamilial processes. Special emphasis is given to critical research gaps in knowledge and priorities for future

The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
-grade bond yield changes on Treasury yield changes and stock returns (see Kwan (1996)) we find that the R 2 falls to five percent when the dependent variable is credit spread changes. Hence, while much is known about yield changes, we have very limited knowledge about the determinants of credit spread

Ontologies and knowledge bases: Towards a terminological clarification

by Nicola Guarino, Pierdaniele Giaretta - Towards very Large Knowledge bases: Knowledge Building and Knowledge sharing , 1995
"... The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number o ..."
Abstract - Cited by 310 (13 self) - Add to MetaCart
The word “ontology ” has recently gained a good popularity within the knowledge engineering community. However, its meaning tends to remain a bit vague, as the term is used in very different ways. Limiting our attention to the various proposals made in the current debate in AI, we isolate a number

Formal Ontology, Conceptual Analysis and Knowledge Representation

by Nicola Guarino - INTERNATIONAL JOURNAL OF HUMAN AND COMPUTER STUDIES , 1995
"... The purpose of this paper is to defend the systematic introduction of formal ontological principles in the current practice of knowledge engineering, to explore the various relationships between ontology and knowledge representation, and to present the recent trends in this promising research area. ..."
Abstract - Cited by 231 (13 self) - Add to MetaCart
). Current knowledge modelling methodologies tend to focus on the former subsystem only, viewing domain knowledge as strongly dependent on the particular task at hand: in fact, AI researchers seem to have been much more interested in the nature of reasoning rather than in the nature of the real world

Product development decisions: a review of the literature

by V. Krishnan, Karl T. Ulrich - Management Science , 2001
"... This paper is a review of research in product development, which we define as the transformation of a market opportunity into a product available for sale. Our review is broad, encompassing work in the academic fields of marketing, operations management, and engineering design. The value of this bre ..."
Abstract - Cited by 220 (5 self) - Add to MetaCart
” of product development at the fundamental decisions that are made by intention or default. In doing so, we adopt the perspective of product development as a deliberate business process involving hundreds of decisions, many of which can be usefully supported by knowledge and tools. We contrast this approach

A theory of group stability

by Kathleen Carley - American Journal of Sociology , 1991
"... Some groups endure longer, are more stable, and are better able than other groups to incorporate new members or ideas without losing their distinctiveness. I present a simple model of individual behavior based on the thesis that interaction leads to shared knowledge and that relative shared knowlege ..."
Abstract - Cited by 205 (62 self) - Add to MetaCart
Some groups endure longer, are more stable, and are better able than other groups to incorporate new members or ideas without losing their distinctiveness. I present a simple model of individual behavior based on the thesis that interaction leads to shared knowledge and that relative shared

Theoretical Risks and Tabular Asterisks: Sir Karl and Sir Ronald and The Slow progress OF SOFT PSYCHOLOGY

by Paul E. Meehl - J CONSULTING AND CLINICAL PSYCHOLOGY , 1978
"... Theories in “soft” areas of psychology lack the cumulative character of scientific knowledge. They tend neither to be refuted nor corroborated, but instead merely fade away as people lose interest. Even though intrinsic subject matter difficulties (20 listed) contribute to this, the excessive relian ..."
Abstract - Cited by 205 (13 self) - Add to MetaCart
Theories in “soft” areas of psychology lack the cumulative character of scientific knowledge. They tend neither to be refuted nor corroborated, but instead merely fade away as people lose interest. Even though intrinsic subject matter difficulties (20 listed) contribute to this, the excessive

Systems for Knowledge Discovery in Databases

by Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-shapiro - IEEE Transactions On Knowledge And Data Engineering , 1993
"... The automated discovery of knowledge in databases is becoming increasingly important as the world's wealth of data continues to grow exponentially. Knowledge-discovery systems face challenging problems from real-world databases which tend to be dynamic, incomplete, redundant, noisy, sparse, and ..."
Abstract - Cited by 118 (8 self) - Add to MetaCart
The automated discovery of knowledge in databases is becoming increasingly important as the world's wealth of data continues to grow exponentially. Knowledge-discovery systems face challenging problems from real-world databases which tend to be dynamic, incomplete, redundant, noisy, sparse
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