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» Goals and Benchmarks for Automated Map Reasoning
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ICSE
2003
IEEE-ACM
14 years 4 months ago
Eliciting Architectural Decisions from Requirements using a Rule-based Framework
Making architectural decisions based on requirements, analyzing cost-benefit trade-offs, and keeping design options open is a difficult task. Existing work on classification of ar...
WenQian Liu, Steve M. Easterbrook
KR
1994
Springer
13 years 8 months ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
DEBU
2006
163views more  DEBU 2006»
13 years 4 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
ICS
2005
Tsinghua U.
13 years 10 months ago
Improving the computational intensity of unstructured mesh applications
Although unstructured mesh algorithms are a popular means of solving problems across a broad range of disciplines—from texture mapping to computational fluid dynamics—they ar...
Brian S. White, Sally A. McKee, Bronis R. de Supin...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 10 months ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...