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» Scalable Learning of Collective Behavior
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CIMCA
2005
IEEE
14 years 1 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius
ERCIMDL
2003
Springer
116views Education» more  ERCIMDL 2003»
14 years 26 days ago
Connecting Interface Metaphors to Support Creation of Path-Based Collections
Abstract. Walden’s Paths is a suite of tools that supports the creation and presentation of linear hypermedia paths—targeted collections that enable authors to reorganize and c...
Unmil Karadkar, Andruid Kerne, Richard Furuta, Lui...
ATAL
2006
Springer
13 years 11 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer
SAB
2004
Springer
198views Optimization» more  SAB 2004»
14 years 1 months ago
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems
Abstract. In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in...
Kristina Lerman, Alcherio Martinoli, Aram Galstyan
MUE
2009
IEEE
144views Multimedia» more  MUE 2009»
14 years 2 months ago
Maxtream: Stabilizing P2P Streaming by Active Prediction of Behavior Patterns
In theory, peer-to-peer (P2P) based streaming designs and simulations provide a promising alternative to serverbased streaming systems both in cost and scalability. In practice ho...
Shay Horovitz, Danny Dolev