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» Reasoning about Input-Output Modeling of Dynamical Systems
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SIGSOFT
2006
ACM
14 years 1 months ago
Bit level types for high level reasoning
Bitwise operations are commonly used in low-level systems code to access multiple data fields that have been packed into a single word. Program analysis tools that reason about s...
Ranjit Jhala, Rupak Majumdar
AIME
2009
Springer
14 years 2 months ago
An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression
: Mental healthcare is a prospective area for applying AI techniques. For example, a computerized system could support individuals with a history of depression in maintaining their...
Azizi Ab Aziz, Michel C. A. Klein, Jan Treur
ICCBR
2010
Springer
13 years 11 months ago
Goal-Driven Autonomy with Case-Based Reasoning
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Héctor Muñoz-Avila, Ulit Jaidee, Dav...
UAI
2008
13 years 9 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
DALT
2008
Springer
13 years 8 months ago
A Complete STIT Logic for Knowledge and Action, and Some of Its Applications
Abstract. This paper presents a complete temporal STIT logic for reasoning about multi-agency. I discuss its application for reasoning about norms, knowledge, autonomy, and other m...
Jan Broersen