Towards a high-level implementation of flexible parallelism primitives for symbolic languages

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A new class of symbolic abstract neural nets

Starting from the way the inter-cellular communication takes place by means of protein channels and also from the standard knowledge about neuron functioning, we propose a computing model called a tissue P system, which processes symbols in a multiset rewriting sense, in a net of cells similar to a neural net. Each cell has a finite state memory, processes multisets of symbol-impulses, and can send impulses (?excitations?) to the neighboring cells. Such cell nets are shown to be rather powerful: they can simulate a Turing machine even when using a small number of cells, each of them having a small number of states. Moreover, in the case when each cell works in the maximal manner and it can excite all the cells to which it can send impulses, then one can easily solve the Hamiltonian Path Problem in linear time. A new characterization of the Parikh images of ET0L languages are also obtained in this framework.

Un luogo simbolico. A Symbolic Place

Un luogo simbolico. Casa del infinito

Symbolic vs substantive sustainability reporting: examining the role of company-level characteristics

As sustainability reporting (SR) practices have being increasingly adopted by corporations over the last twenty years, most of the existing literature on SR has stressed the role of external determinants (such as institutional and stakeholder pressures) in explaining this uptake. However, given that recent evidence points to a broader range of motives and uses (both external and internal) of SR, we contend that its role within company-level activities deserves greater academic attention. In order to address this research gap, this paper seeks to provide a more integrated perspective of both institutional and efficiency explanations of SR dynamics, as well as to highlight the role of company-level characteristics in explaining its contribution to sustainability management practices. More specifically, we suggest that substantive SR implementation can be predicted by assessing the level of fit between the organization and the SR framework being adopted. Building on this idea, our theoretical model defines three forms of fit (technical, cultural and political) and identifies organizational characteristics associated to each of these fits. Finally, implications for academic research, businesses and policy-makers are derived.