[Context and motivation] Self-adaptation empowers systems with the capability to meet stakeholders’ requirements in a dynamic environment. Such systems autonomously monitor changes and events which drive adaptation decisions at runtime. Social Adaptation is a recent kind of requirements-driven adaptation which enables users to give a runtime feedback on the success and quality of a system’s con...

R ecent years have seen adaptation come to the fore of the international climate change debate. The focus is centred largely upon enhancing the capacity of developing countries and the poorest to adapt to the impacts of climate change. As a result, interventions to facilitate adaptation need to identify and address key barriers to ensure that societies are resilient in the face of a changing cl...

In this paper we present SNACS, a novel method for creating Social Narratives that can be Adapted using information from Crowdsourcing. Previous methods for automatic narrative generation require that the primarily author explicitly detail nearly all parts of the story, including details about the narrative. This is also the case for narratives within computer games, educational tools and Embod...

Objective: To investigate the mediating effect of social adaptation between the Chinese college’s mental health and self-concept. Methods: Five hundred and eight college students were surveyed with China College Student Adjustment Scale (CCSAS), College Student Self-Concept Questionnaire (CSSQ), and Development of Chinese College Student Mental Health Scale (DCCSMH). Using SPSS and the tools of...

Despite the exponential rise of social media use in external stakeholder engagement, academic research and managerial practice have paid little attention to how it can be used for open innovation across the entire innovation funnel, spanning ideation, R&D, and commercialization. As a result, there is little understanding of how companies can organize for and implement social media for open inno...

Machine learning is the core of artificial intelligence. Letting machine learning be driven not only by individual goals, but by goals consistent with those of a coalition of agents, is very difficult. Successful inductive rules for agent behaviour are typically based on machine guesses, the quality of which are measured in terms of precise real numbers representing utility. Random guesses are ...

Most investigation into climate adaptation to date has focused on specific technological interventions and socio-economic aspects of adaptive capacity. New perspectives posit that socio-cognitive factors may be as or more important in motivating individuals to take adaptive actions. Recent research indicates that incorporating insights from motivation theory can enhance theorization of adaptive...