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» Expressive Planning and Explicit Knowledge
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AIPS
2003
13 years 8 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
JAIR
2006
157views more  JAIR 2006»
13 years 7 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
ECTEL
2007
Springer
14 years 1 months ago
Reasoning-Based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture
Abstract. We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses, given at a knowledge level (what the cou...
Matteo Baldoni, Cristina Baroglio, Ingo Brunkhorst...
AGENTS
1997
Springer
13 years 11 months ago
High-Level Planning and Low-Level Execution: Towards a Complete Robotic Agent
We have been developing Rogue, an architecture that integrates high-level planning with a low-level executing robotic agent. Rogue is designed as the oce gofer task planner for X...
Karen Zita Haigh, Manuela M. Veloso
ICCS
2009
Springer
14 years 2 months ago
Distinguishing Answers in Conceptual Graph Knowledge Bases
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...
Nicolas Moreau, Michel Leclère, Madalina Cr...