About P. Andreadis

Pre-Doctoral Research Assistant in AI and Social Computation @ University of Edinburgh.

Hybrid Human-Machine Computing Systems – Provisioning, Monitoring, and Reliability Analysis

Abstract: Modern advances of computing systems allow humans to participate not only as service consumers but also as service providers, yielding the so-called human-based computation. In this paradigm, some computational steps to solve a problem can be outsourced to humans. Continue reading

A Collaboration Model for Community-Based Software Development with Social Machines

Abstract: Today’s crowdsourcing systems are predominantly used for processing independent tasks with simplistic coordination. As such, they offer limited support for handling complex, intellectually and organizationally challenging labour types, such as software development. In order to support crowdsourcing of the Continue reading

PRINGL – A domain-specific language for incentive management in crowdsourcing

Abstract: Novel types of crowdsourcing systems require a wider spectrum of incentives for efficient motivation and management of human workers taking part in complex collaborations. Incentive management techniques used in conventional crowdsourcing platforms are not suitable for more intellectually-challenging tasks. Continue reading

Predicting actions using an adaptive probabilistic model of human decision behaviours

Abstract: Computer interfaces provide an environment that allows for multiple objectively optimal solutions but individuals will, over time, use a smaller number of subjectively optimal solutions, developed as habits that have been formed and tuned by repetition. Designing an interface Continue reading