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» Modeling Learners as Individuals and as Groups
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105
Voted
AI
2010
Springer
14 years 10 months ago
Agent decision-making in open mixed networks
Computer systems increasingly carry out tasks in mixed networks, that is in group settings in which they interact both with other computer systems and with people. Participants in...
Ya'akov Gal, Barbara J. Grosz, Sarit Kraus, Avi Pf...
ICCV
2009
IEEE
16 years 4 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
HICSS
2002
IEEE
128views Biometrics» more  HICSS 2002»
15 years 4 months ago
Flexible Instructional Strategies for E-learning
This paper provides an overview on a German lighthouse research project called L3 in the area of e-learning systems that supply e-learning services via a virtual private network. ...
Michael Altenhofen, Joachim Schaper
78
Voted
CHI
2010
ACM
15 years 4 months ago
Share: a programming environment for loosely bound cooperation
We introduce a programming environment entitled Share that is designed to encourage loosely bound cooperation between individuals within communities of practice through the sharin...
Yannick Assogba, Judith S. Donath
ECAIW
1994
Springer
15 years 3 months ago
Representing and Executing Agent-Based Systems
Abstract. In this paper we describe an approach to the representation and implementation of agent-based systems where the behaviour of an individual agent is represented by a set o...
Michael Fisher