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EKAW
2006
Springer
15 years 3 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
IROS
2007
IEEE
148views Robotics» more  IROS 2007»
15 years 6 months ago
Tractable probabilistic models for intention recognition based on expert knowledge
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...
Oliver C. Schrempf, David Albrecht, Uwe D. Hanebec...
DAI
1995
Springer
15 years 3 months ago
A Formal View of Social Dependence Networks
In response to the problems that have arisen regarding the terminology and concepts of agent-oriented systems, previous work has described a formal framework for understanding agen...
Mark d'Inverno, Michael Luck
ATAL
2008
Springer
15 years 1 months ago
Conviviality masks in multiagent systems
In this paper we study tools for conviviality to develop user-friendly multiagent systems. First, we show how to use the social-cognitive concept of conviviality in multiagent sys...
Patrice Caire, Serena Villata, Guido Boella, Leend...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 3 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani