DBLP:conf/aaai/Nayak92 +, KSL-92-31 + redirect page
Causal Approximations + Has identifier
Causal Approximations + Ksl tr id
Causal Approximations + Number
| Causal Approximations |
Bibtype
techreport
Has publishing details
1992
Has title
Causal Approximations
Has where published
KSL-92-31
Has year
1992
Title
Causal Approximations
Year
1992
Abstract
Adequate problem representations require t … Adequate problem representations require the identification of abstractions and approximations that are well suited to the task at hand. In this paper we introduce a new class of approximations, called causal approximations, that are commonly found in modeling the physical world. Causal approximations support the efficient generation of parsimonious causal explanations, which play an important role in reasoning about engineered devices. The central problem to be solved in generating parsimonious causal explanations is the identification of a simplest model that explains the phenomenon of interest.We formalize this problem and show that it is, in general, intractable. In this formalization, simplicity of models is based on the intuition that using more approximate models of fewer phenomena leads to simpler models. We then show that when all the approximations are causal approximations, the above problem can be solved in polynomial time. problem can be solved in polynomial time.
Author
P. Pandurang Nayak +
Has author
P. Pandurang Nayak +
Has identifier
Causal Approximations +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Causal Approximations +
Number
Causal Approximations +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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