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Tags and the evolution of cooperation in complex environments

by Lee Spector, Jon Klein, Chris Perry - In Proceedings of the AAAI 2004 Symposium on Artificial Multiagent Learning (pp. 111–117). Melno Park , 2004
"... Cooperation in evolving populations of agents has been explained as arising from kin selection, reci-procity during repeated interactions, and indirect reciprocity through agent reputations. All of these mechanisms require significant agent capabilities, but recent research using computational model ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
models has shown that arbitrary markers called “tags ” can be used to achieve significant levels of cooperation even in the absence of memory, repeated interac-tions or knowledge of kin. This is important be-cause it helps to explain the evolution of cooper-ation in organisms with limited cognitive

Cooperative Knowledge Acquisition & Knowledge Refinement Systems: A Review of Their Use in Intelligent Systems &Their Roles in the Semantic Web

by Derek Sleeman, Aberbeen Ab Fx
"... Building a sizable knowledge base (KB) for an intelligent system is a non-trivial task. When users attempt to solve realistic tasks with such systems it often becomes clear that knowledge is missing when it needs to be acquired, or a task is solved incorrectly when the KB needs to be refined. If the ..."
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as to how the KB might be refined, and for the domain expert to make the selection. (We refer to such systems as: Cooperative Knowledge Acquisition & Knowledge Refine-ment systems.) A number of such systems have been implemented in a variety of subject domains and more particularly these use a number

Cooperating Artificial Neural and Knowledge-Based Systems in a Truck Fleet Brake-Balance Application

by Michael Lawrence Smith - Proceedings of EMC’96 Roma International Symposium on Electromagnetic Compatibility , 1991
"... A proprietary air brake-balance analysis system for trucks gathers five sets of data relating air pressure, time, braking force, and temperature. Each test produces a complex, color graph plotted against axes chosen from pressure, time, and temperature. A human expert can make im-pressive diagnoses ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
about the brake and air systems after studying these graphs. I describe five artificial neural networks that are trained to ren-der a judgment about these graphs and a knowledge-based system that accepts these judgments and combines them with additional informa-tion to arrive at a precise problem

Knowledge Creation as a Square Dance on the

by Hilbert Cube, Marcus Berliant, Masahisa Fujita, Tony Smith , 2007
"... This paper presents a micro-model of knowledge creation through the interac-tions among a group of people. Our model incorporates two key aspects of the cooperative process of knowledge creation: (i) heterogeneity of people in their state of knowledge is essential for successful cooperation in the j ..."
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This paper presents a micro-model of knowledge creation through the interac-tions among a group of people. Our model incorporates two key aspects of the cooperative process of knowledge creation: (i) heterogeneity of people in their state of knowledge is essential for successful cooperation

Structure, Evolution and Hot Spots of Cooperation Innovation Knowledge Network —Bibliometric Analysis from SCI (2000-2014)

by Xinyue Zhang, Wei Song
"... Based on the statistics analysis of cooperation innovation articles, the paper analyses the distri-buting characteristics of cooperation innovation research papers. The distribution, structure and evolution of cooperation innovation research are studied through the social network and co-word method, ..."
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of cooperation innovation know-ledge network in five stages and makes the net spectrum, visually showing the hot spots at var-

Vision-Based Localization and Data Fusion in a System of Cooperating Mobile Robots

by Robert Hanek, Thorsten Schmitt - In Proc. of the IEEE Intl. Conf. on Intelligent Robots and Systems (2000), IEEE/RSJ
"... The approach presented in this paper allows a team of mobile robots to estimate cooperatively their poses, i.e. positions and orientations, and the poses of other observed objects from images. The images are obtained by calibrated color cameras mounted on the robots. Model knowledge of the robots &a ..."
Abstract - Cited by 19 (11 self) - Add to MetaCart
The approach presented in this paper allows a team of mobile robots to estimate cooperatively their poses, i.e. positions and orientations, and the poses of other observed objects from images. The images are obtained by calibrated color cameras mounted on the robots. Model knowledge of the robots

Towards Cooperative Planning of Data Mining

by Floarea Serban, Abraham Bernstein, Simon Fischer
"... Abstract. A major challenge for third generation data mining and knowledge discovery systems is the integration of different data mining tools and services for data understanding, data integration, data prepro-cessing, data mining, evaluation and deployment, which are distributed across the network ..."
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Abstract. A major challenge for third generation data mining and knowledge discovery systems is the integration of different data mining tools and services for data understanding, data integration, data prepro-cessing, data mining, evaluation and deployment, which are distributed across the network

Cooperative Control of Linear Systems with Choice Actions,” to appear

by Zhongchang Liu, Wing Shing Wong, Ge Guo - in Proceedings of the American Control Conference
"... Abstract — In this paper, an estimate-inference-feedback con-trol methodology is proposed for affine systems involving two agents executing cooperative control based on individual choices. No explicit communication channel exists between the two agents. The system state is estimated independently wi ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
Abstract — In this paper, an estimate-inference-feedback con-trol methodology is proposed for affine systems involving two agents executing cooperative control based on individual choices. No explicit communication channel exists between the two agents. The system state is estimated independently

Efficient Multi-AUV Cooperation using Semantic Knowledge Representation for Underwater Archaeology Missions

by unknown authors
"... replacement of a single robot by cooperative robotic team in highly demanding applications, such as search and rescue. A robotic team could perform better than a single robot, if certain challenges, such as action planning, coordination, and decision making, are successfully tackled. One key factor ..."
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replacement of a single robot by cooperative robotic team in highly demanding applications, such as search and rescue. A robotic team could perform better than a single robot, if certain challenges, such as action planning, coordination, and decision making, are successfully tackled. One key factor

Efficient Multi-AUV Cooperation using Semantic Knowledge Representation for Underwater Archaeology Missions

by unknown authors
"... replacement of a single robot by cooperative robotic team in highly demanding applications, such as search and rescue. A robotic team could perform better than a single robot, if certain challenges, such as action planning, coordination, and decision making, are successfully tackled. One key factor ..."
Abstract - Add to MetaCart
replacement of a single robot by cooperative robotic team in highly demanding applications, such as search and rescue. A robotic team could perform better than a single robot, if certain challenges, such as action planning, coordination, and decision making, are successfully tackled. One key factor
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