iHAS: Intelligent Social Computing for Human-Agent Societies

Start Date: 2013-01-01

End Date: 2015-12-31


Nowadays more and more humans work in partnership (directly or indirectly) or closely related with computational entities (agents) that are able to act autonomously and intelligently. Specifically, humans and agents have the ability to establish a series of relationships/collaborative interactions with each other, forming what might be called human-agent teams to meet their individual or collective goals within an organisation or social structure. This relationship between humans and agents can be implicit or explicit, pre-designed or emergent, static or dynamic. Considering systems of people and agents operating on a large scale offers an enormous potential and, if performed properly, it will help tackle complex social applications, which are critical to our future. This view is closely related to the concept of social computing, where systems are constructed from the interactions between entities that are part of them. Possible applications of such systems are virtual marketplaces where either agents or humans interact, simulation and training environments (possibly in 3D), the area of health and medical applications, home automation, etc..
Therefore, this work proposes the development of mechanisms, algorithms, tools and models that enable the creation of open systems where virtual agents and humans coexist and interact transparently into a fully integrated environment. We call this type of systems as Human-Agent Societies (HAS). The proposed work aims to provide answers to questions like: What is necessary to know and design for humans to interact with software agents? and how these interactions should be formalised and structured to obtain software products that are effective in such environments?. The objective of this project is to advance and provide solutions in these lines.