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» Modeling Complex Domains of Actions and Change
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IRI
2007
IEEE
15 years 3 months ago
ModelML: a Markup Language for Automatic Model Synthesis
Domain-specific modeling has become a popular way of designing and developing systems. It generally involves a systematic use of a set of object-oriented models to represent vari...
Cong Zhang, Amol Bakshi, Viktor K. Prasanna
UMUAI
1998
157views more  UMUAI 1998»
14 years 9 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
ATAL
2000
Springer
15 years 1 months ago
Layered Disclosure: Revealing Agents' Internals
A perennial challenge in creating and using complex autonomous agents is following their choices of actions as the world changes dynamically and understanding why they act as they ...
Patrick Riley, Peter Stone, Manuela M. Veloso
BMCBI
2006
122views more  BMCBI 2006»
14 years 9 months ago
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sa...
ILP
2007
Springer
15 years 3 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...