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» Learning executable agent behaviors from observation
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AIPS
2009
15 years 5 months ago
Learning User Plan Preferences Obfuscated by Feasibility Constraints
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
ATAL
2010
Springer
15 years 5 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...
ICCV
2001
IEEE
16 years 6 months ago
Multi-Agent Event Recognition
This paper presents a new approachto recognizingmultiagent events observed by a static camera. To track objects robustly, knowledgeabout the groundplaneand the events is used. An ...
Somboon Hongeng, Ramakant Nevatia
DATE
2005
IEEE
154views Hardware» more  DATE 2005»
15 years 10 months ago
Secure Embedded Processing through Hardware-Assisted Run-Time Monitoring
— Security is emerging as an important concern in embedded system design. The security of embedded systems is often compromised due to vulnerabilities in “trusted” software t...
Divya Arora, Srivaths Ravi, Anand Raghunathan, Nir...
165
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AAMAS
1999
Springer
15 years 4 months ago
Verifying Compliance with Commitment Protocols
Interaction protocols are specific, often standard, constraints on the behaviors of autonomous agents in a multiagent system. Protocols are essential to the functioning of open sys...
Mahadevan Venkatraman, Munindar P. Singh