Institutional Grammar 2.0 Codebook

The Grammar of Institutions, or Institutional Grammar (IG), is an established approach to encode policy information in terms of institutional statements based on a set of pre-defined syntactic components. This codebook provides coding guidelines for a revised version of the IG, the Institutional Grammar 2.0 (IG 2.0). IG 2.0 is a specification that aims at facilitating the encoding of policy to meet varying analytical objectives. To this end, it revises the grammar with respect to comprehensiveness, flexibility, and specificity by offering multiple levels of expressiveness (IG Core, IG Extended, IG Logico), and further introduces encoding of constitutive institutional statements, in addition to the encoding of regulative statements. The codebook covers fundamental concepts of IG 2.0, before providing an overview of pre-coding steps relevant for document preparation. Following this, detailed coding guidelines are provided for both regulative and constitutive statements across all levels of expressiveness, along with the encoding instructions for hybrid and polymorphic institutional statements. The document further provides an overview of taxonomies used in the encoding process and referred to throughout the codebook. Note that this codebook specifically focuses on operational aspects of IG 2.0 in the context of policy coding. Links to additional resources such as the underlying scientific literature (that offers comprehensive treatment of the underlying theoretical concepts) as well as tool support are referred to in the concluding section of the codebook.

Impact of meta-roles on the evolution of organisational institutions

This paper investigates the impact of changes in agents' beliefs coupled with dynamics in agents' meta-roles on the evolution of institutions. The study embeds agents' meta-roles in the BDI architecture. In this context, the study scrutinises the impact of cognitive dissonance in agents due to unfairness of institutions. To showcase our model, two historical long-distance trading societies, namely Armenian merchants of New-Julfa and the English East India Company are simulated. Results show how change in roles of agents coupled with specific institutional characteristics leads to changes of the rules in the system.