Sciweavers

AAAI
2008
14 years 12 hour ago
Adaptive Control for Autonomous Underwater Vehicles
We describe a novel integration of Planning with Probabilistic State Estimation and Execution resulting in a unified representational and computational framework based on declarat...
Conor McGann, Frederic Py, Kanna Rajan, John Ryan,...
AAAI
2007
14 years 12 hour ago
Inference Rules for High-Order Consistency in Weighted CSP
Recently defined resolution calculi for Max-SAT and signed Max-SAT have provided a logical characterization of the solving techniques applied by Max-SAT and WCSP solvers. In this...
Carlos Ansótegui, Maria Luisa Bonet, Jordi ...
AAAI
2008
14 years 12 hour ago
Planning with Problems Requiring Temporal Coordination
We present the first planner capable of reasoning with both the full semantics of PDDL2.1 (level 3) temporal planning and with numeric resources. Our planner, CRIKEY3, employs heu...
Andrew Coles, Maria Fox, Derek Long, Amanda Smith
AAAI
2008
14 years 12 hour ago
Terminological Reasoning in SHIQ with Ordered Binary Decision Diagrams
We present a new algorithm for reasoning in the description logic SHIQ, which is the most prominent fragment of the Web Ontology Language OWL. The algorithm is based on ordered bi...
Sebastian Rudolph, Markus Krötzsch, Pascal Hi...
AAAI
2007
14 years 12 hour ago
PLOW: A Collaborative Task Learning Agent
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...
James F. Allen, Nathanael Chambers, George Ferguso...
AAAI
2008
14 years 12 hour ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
AAAI
2008
14 years 12 hour ago
Efficient Learning of Action Schemas and Web-Service Descriptions
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Thomas J. Walsh, Michael L. Littman
AAAI
2007
14 years 12 hour ago
An Investigation into Computational Recognition of Children's Jokes
bstract or nonliving entities act or are described as living. And living things gain extra benefits such as animals talking. For this reason, the standard scripts are modified to a...
Julia M. Taylor, Lawrence J. Mazlack
AAAI
2008
14 years 12 hour ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe