It is well known that meta-computation can be used to guide other computations (at the object-level), and thereby reduce the costs of these computations. However, the question arises to what extent the cost of meta-computation oosetts the gains made by object-level savings. In this paper we discuss a set of equations that model this trade-oo between object-savings and meta-costs. The model show...

In this paper we develop a comprehensive composite meta-model from Task Analysis models called the Reference Task Meta-model (ReTaMeta model) for the purpose of comparing numerous Agent-Oriented meta-models. The reference model needed to be derived from a field independent of the Agent-oriented paradigm, yet based on Psychology. To arrive at the ReTaMeta model we first extracted the meta-models...

1 The need for modules in the development of large programs is well known while meta-programming is widely regarded as a simple yet powerful methodology for knowledge representation and reasoning. Thus if we wish to reason about large knowledge bases, it is desirable that meta-programs should be designed to reason about modular programs. This paper describes a module system which allows the mod...

Multivariate meta-analysis allows the joint synthesis of effect estimates based on multiple outcomes from multiple studies, accounting for the potential correlations among them. However, standard methods for multivariate meta-analysis for multiple outcomes are restricted to problems where the within-study correlation is known or where individual participant data are available. This paper propos...

Range restriction in most data sets is indirect, but the meta-analysis methods used to date have applied the correction for direct range restriction to data in which range restriction is indirect. The authors show that this results in substantial undercorrections for the effects of range restriction, and they present meta-analysis methods for making accurate corrections when range restriction i...

The ground-state energy, electron density, and related properties of ordinary matter can be computed efficiently when the exchange-correlation energy as a functional of the density is approximated semilocally. We propose the first meta-generalized-gradient approximation (meta-GGA) that is fully constrained, obeying all 17 known exact constraints that a meta-GGA can. It is also exact or nearly e...