In some areas of software engineering research, there are several metamodels claiming to capture the main issues. Though it is profitable to have variety at the beginning of a research field, after some time, the diversity of metamodels becomes an obstacle, for instance to the sharing of results between research groups. To reach consensus and unification of existing metamodels, metamodel-driven software language engineering can be applied. This paper illustrates an application of software language engineering in the agent-oriented software engineering research domain. Here, we introduce a relatively generic agent-oriented metamodel whose suitability for supporting modeling language development is demonstrated by evaluating it with respect to several existing methodology-specific metamodels. First, the metamodel is constructed by a combination of bottom-up and top-down analysis and best practice. The concepts thus obtained and their relationships are then evaluated by mapping to two agent-oriented metamodels: TAO and Islander. We then refine the metamodel by extending the comparisons with the metamodels implicit or explicit within five more extant agent-oriented approaches: Adelfe, PASSI, Gaia, INGENIAS, and Tropos. The resultant FAML metamodel is a potential candidate for future standardization as an important component for engineering an agent modeling language.

With a few exceptions, media visibility and representation of people with disabilities is scarce. It is biased and anchored in stigma, distorting their image and hindering their full social participation. Paralympic sport is one of the social fields where the challenge of an objective representation of disability becomes particularly important due to the ever-increasing amount of television attention to the Paralympic Games as a global sports event and some persisting stereotypes in media representation of athletes with disabilities. Through an exploratory and interpretive research method, aimed at assessing media visibility of disability from the perspective of content production and its dissemination, the paper reviews the evolution of media representation of the Paralympic Games and athletes with disabilities during Sochi 2014, Rio 2016, and PyeongChang 2018 global sports events in the daily news programs from the National Spanish Broadcaster, RTVE. The effective inclusion of people with disabilities in the public sphere and a progressive removal of stereotypes and stigma depends to a great extent on the visibility and objective representation of disability in media.

In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reasoning techniques. This application shows how to develop adaptive agents with a goal driven design and a decision process built on a CBR architecture. The resulting agent architecture has been validated by real users who have used the tourist guide application, on a mobile device, and can be generalized for the development of other personalized services.