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» Using Bayesian Networks to Model Agent Relationships
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TMM
2002
104views more  TMM 2002»
13 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
CEC
2009
IEEE
14 years 4 months ago
Modeling multi-agent labor market based on co-evolutionary computation and game theory
— In a real-world, labor market consist of employer and employee, and these individuals form relationship through mutual interactions. This paper mainly focuses on development of...
Hee-Taek Kim, Sung-Bae Cho
BPM
2008
Springer
188views Business» more  BPM 2008»
14 years 4 days ago
Social Software for Modeling Business Processes
Abstract. The aim of this paper is to show how the use of social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
NCA
2005
IEEE
14 years 3 months ago
Cooperative Mobile Agents to Gather Global Information
Abstract— This paper describes an original approach to writing reactive algorithms on highly dynamic networks. We propose to use randomly mobile agents to gather global informati...
Michel Charpentier, Gérard Padiou, Philippe...
ATAL
2009
Springer
14 years 4 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan