This would appear to produce a mismatch between our pre-theoretic understanding of coercion and the cases that will satisfy Fowler's conditions — for instance, giving someone a false "warning" arguably violates her autonomy, but this seems different than coercion.
We can find cases were M ⊨ m1 ∈ m2, despite the fact that neither m1 nor m2 are even sets (indeed, as far as the model theory is concerned, m1 and m2 could both be cats, or rabbits, or hedgehogs, or …).[18] Further, even when all of the elements in M are sets, this provides no guarantee that the model-theoretic understanding of "∈" will agree with the ordinary English understanding.
The present results provide a theoretic framework for the understanding of the Ag bonding properties on Si(111) and H-terminated Si(111) surfaces.
Linderman et al. (2003: pp. 193) highlight that SSQI "lacks a theoretical underpinning and a basis of research other than 'best practice' studies" and use the goal theoretic perspective to develop an understanding of SSQI.
After analyzing the impact of the implemented tool through personal final questionnaires among students, an improvement of the understanding of the theoretic concepts previously studied as well as the facility of access to the contents being the most appreciated benefits.
In case of the set-theoretic paradoxes, it is our understanding of the concept of a set.
To treat them more thoroughly would, unfortunately, require us to dive pretty deeply into questions concerning, e.g., the status of our informal understanding of set-theoretic language, the legitimacy of second-order quantification, and the identity conditions associated with mathematical objects in structuralist philosophies of mathematics.
Skolem's Paradox shows that adopting an algebraic understanding of the set-theoretic axioms also doesn't force us to accept uncountable sets, since we can always interpret these axioms as applying to a model that's only countable.
This article explores the assumption that a deeper (quantitative) understanding of the information-theoretic implications of sensory motor coordination can help endow robots not only with better sensory morphologies, but also with better exploration strategies.
The Bayesian game-theoretic approach provides us a better understanding of the wireless resource competition existing in the fading MAC when every mobile device acts as a selfish and rational decision maker (this means a device always chooses the best response given its information).
Because of this, graph-theoretic analyses of biological networks can advance our understanding of fundamental cellular functioning.
