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» Modeling Agents with a Theory of Mind
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ATAL
2010
Springer
13 years 10 months ago
Ants meeting algorithms
Ant robots have very low computational power and limited memory. They communicate by leaving pheromones in the environment. In order to create a cooperative intelligent behavior, ...
Asaf Shiloni, Alon Levy, Ariel Felner, Meir Kalech
CLIMA
2004
13 years 10 months ago
Learning in BDI Multi-agent Systems
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
Alejandro Guerra-Hernández, Amal El Fallah-...
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 11 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
ATAL
2007
Springer
14 years 3 months ago
On the robustness of preference aggregation in noisy environments
In an election held in a noisy environment, agents may unintentionally perturb the outcome by communicating faulty preferences. We investigate this setting by introducing a theore...
Ariel D. Procaccia, Jeffrey S. Rosenschein, Gal A....
ATAL
2008
Springer
13 years 10 months ago
Automated design of scoring rules by learning from examples
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosensc...