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ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 7 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
157
Voted
LANMR
2004
15 years 3 months ago
New Semantics for Hybrid Probabilistic Programs
Hybrid probabilistic programs framework [5] is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge...
Emad Saad
117
Voted
ATAL
2010
Springer
15 years 3 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
JUCS
2010
142views more  JUCS 2010»
15 years 18 days ago
Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach
: Mobile agent technology advocates the mobility of code rather than the transfer of data. As data is found in several sites, a mobile agent has to plan an itinerary to visit sever...
Eduardo Camponogara, Ricardo Boveto Shima
106
Voted
AAAI
1998
15 years 3 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman