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» Learning about Complexity with Modular Robots
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CHI
2004
ACM
13 years 11 months ago
Topobo: a constructive assembly system with kinetic memory
We introduce Topobo, a 3D constructive assembly system embedded with kinetic memory, the ability to record and playback physical motion. Unique among modeling systems is Topoboʼs...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii
ISRR
2005
Springer
149views Robotics» more  ISRR 2005»
13 years 11 months ago
Emergence, Exploration and Learning of Embodied Behavior
A novel model for dynamic emergence and adaptation of embodied behavior is proposed. A musculo-skeletal system is controlled by a number of chaotic elements, each of which driving...
Yasuo Kuniyoshi, Shinsuke Suzuki, Shinji Sangawa
AI50
2006
13 years 9 months ago
What Can AI Get from Neuroscience?
The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its re...
Steve M. Potter
ICSE
1995
IEEE-ACM
13 years 9 months ago
Reverse Engineering of Legacy Code Exposed
— Reverse engineering of large legacy software systems generally cannot meet its objectives because it cannot be cost-effective. There are two main reasons for this. First, it is...
Bruce W. Weide, Wayne D. Heym, Joseph E. Hollingsw...
JCB
2008
159views more  JCB 2008»
13 years 5 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther