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AAAI
2012
11 years 10 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ICIDS
2010
Springer
13 years 6 months ago
Crowd-Sourced AI Authoring with ENIGMA
Abstract. ENIGMA is an experimental platform for collaborative authoring of the behaviour of autonomous virtual characters in interactive narrative applications. The main objective...
Michael Kriegel, Ruth Aylett
ICML
2005
IEEE
14 years 8 months ago
Dirichlet enhanced relational learning
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Pe...
KCAP
2003
ACM
14 years 23 days ago
A generic library of problem solving methods for scheduling applications
In this paper we describe a generic library of problemsolving methods (PSMs) for scheduling applications. Although, some attempts have been made in the past at developing librarie...
Dnyanesh G. Rajpathak, Enrico Motta, Zdenek Zdr&aa...
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 11 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...