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SYNTHESE
2011
98views more  SYNTHESE 2011»
9 years 9 months ago
How scientific models can explain
: ic models invariably involve some degree of idealization, abstraction, or fictionalization of their target system. Nonetheless, I argue that there are circumstances under which s...
Alisa Bokulich
KI
2008
Springer
10 years 2 months ago
Can Argumentation Help AI to Understand Explanation?
ed from context by seeing an explanation inferentially, much in the same way that early expert systems saw an explanation as chaining of inferences. This approach omitted, for the ...
Doug Walton
SYNTHESE
2008
84views more  SYNTHESE 2008»
10 years 2 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
CPHYSICS
2004
85views more  CPHYSICS 2004»
10 years 2 months ago
Beyond benchmarking - how experiments and simulations can work together in plasma physics
There has been dramatic progress in the scope and power of plasma simulations in recent years; and because codes are generally cheaper to write, to run and to diagnose than experi...
Martin Greenwald
AAMAS
2002
Springer
10 years 2 months ago
Situated Cognition and the Role of Multi-agent Models in Explaining Language Structure
Abstract. How and where are the universal features of language specified? We consider language users as situated agents acting as conduits for the cultural transmission of language...
Henry Brighton, Simon Kirby, Kenny Smith
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