Distributional Semantics Models (DSMs) have become widely accepted as successful models for lexical semantics. However their extension to handling larger structural units such as entire sentences remains challenging. Compositional DSMs (CDSMs) aim to successfully model sentence semantics by taking into account grammatical structure and logical words, which are ignored by simpler models. We expl...

To study the evolution of complex nervous systems through artificial development, an encoding scheme for modeling networks is needed that reflects intrinsic properties similiar to natural encodings. Like the genetic code, a description language for simulations should indirectly encode networks, be stable but adaptable through evolution and should encode functions of neural networks through arch...

A dedicated development method for multi-agent systems requires adequate means to describe the characteristics of agents and multi-agent systems. Compositional multi-agent system development is based on the principles process and knowledge abstraction, compositionality, reuse, specification and verification. Although the paper addreses these principles of compositional multi-agent system develo...

In the unitary design of systems involving people, objects, processes and concepts, the engineering acquires a hybrid character, requiring the coagulation between the contributions based on diverse expertises and posing coordination and communication problems inside mixed design teams. The LORNET project federates research institutions from Canada for the construction of a “middleware” supporti...

High-throughput sequencing based techniques, such as 16S rRNA gene profiling, have the potential to elucidate the complex inner workings of natural microbial communities - be they from the world's oceans or the human gut. A key step in exploring such data is the identification of dependencies between members of these communities, which is commonly achieved by correlation analysis. However, it h...

Abstract: Within the special geometry of the simplex, the sample space of compositional data, compositional orthonormal coordinates allow the application of any multivariate statistical approach. The search for meaningful coordinates has suggested balances (between two groups of parts)—based on a sequential binary partition of a D-part composition—and a representation in form of a CoDa-dendrogr...

The aim of this paper is to introduce a lightweight twodimensional domain for evolving diverse and interesting artificial creatures. The hope is that this domain will fill a need for such an easily-accessible option for researchers who wish to focus more on the evolutionary dynamics of artificial life scenarios than on building simulators and creature encodings. The proposed domain is inspired ...

The logratio transformation (Aitchison, 1981, 1986) opened the way to statistically rigorous analysis of compositional data. Most statistical problems in compositional data analysis can be formulated in terms of logratios, and solved accordingly. However, some problems are more easily described and solved in terms of raw compositional variables. Raw compositions with k components are restricted...

[1] High‐resolution compositional data from Moon Mineralogy Mapper (M) for the Moscoviense region on the lunar farside reveal three unusual, but distinctive, rock types along the inner basin ring. These are designated “OOS” since they are dominated by high concentrations of orthopyroxene, olivine, and Mg‐rich spinel, respectively. The OOS occur as small areas, each a few kilometers in size, tha...