Sciweavers

AI
2007
Springer
13 years 5 months ago
Multi-agent learning and the descriptive value of simple models
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
Ido Erev, Alvin E. Roth
LEGE
2003
94views Education» more  LEGE 2003»
13 years 6 months ago
Dynamic Learning Agents and Enhanced Presence on the Grid
Human Learning on the Grid will be based on the synergies between advanced software and Human agents. These synergies will be possible to the extent that conversational protocols ...
Stefano A. Cerri, Marc Eisenstadt, Clement Jonquet
AAAI
2006
13 years 6 months ago
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...
ATAL
2006
Springer
13 years 8 months ago
The use of agents in human learning systems
This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to a...
Elizabeth Sklar, Debbie Richards
COLT
2004
Springer
13 years 10 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles
ICNC
2005
Springer
13 years 10 months ago
Modeling Human Learning as Context Dependent Knowledge Utility Optimization
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...
Toshihiko Matsuka
CCGRID
2005
IEEE
13 years 10 months ago
Enabling technologies for future learning scenarios: the semantic grid for human learning
In this paper, starting from the limitations and constrains of traditional human learning approaches, we outline new suitable approaches to education and training in future knowle...
Angelo Gaeta, Pierluigi Ritrovato, Francesco Orciu...