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ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
14 years 3 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
ECTEL
2007
Springer
14 years 3 months ago
Applying Sensemaking in a Mobile Learning Scenario
In this work, a new type of collaborative learning activity is proposed in order to enable students to explore and understand information in highly mobile situations. We call this ...
Gustavo Zurita, Nelson Baloian, Pedro Antunes, Fel...
AAAI
1996
13 years 10 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
DATE
2009
IEEE
107views Hardware» more  DATE 2009»
14 years 4 months ago
User-centric design space exploration for heterogeneous Network-on-Chip platforms
- In this paper, we present a design methodology for automatic platform generation of future heterogeneous systems where communication happens via the Network-onChip (NoC) approach...
Chen-Ling Chou, Radu Marculescu
IJCAI
2007
13 years 10 months ago
Augmented Experiment: Participatory Design with Multiagent Simulation
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
Toru Ishida, Yuu Nakajima, Yohei Murakami, Hideyuk...