Our previous work introduced a methodology for synthesizing and analyzing basic behaviors which served as a substrate for generating a large repertoire of higher{level group interactions (Matari c 1992, Matari c 1993). In this paper we describe how, given the substrate, agents can learn to behave socially, i.e. to maximize average individual by maximizing collective beneet. While this is a well...

Virtual environments such as training simulators and video games do an impressive job at modeling the physical dynamics of synthetic worlds but fall short when modeling the social dynamics of anything but the most impoverished human encounters. Yet the social dimension is at least as important as good graphics for creating an engaging game or effective training tool. Commercial flight simulator...

Mining for Bitcoins is a high-risk high-reward activity. Miners, seeking to reduce their variance and earn steadier rewards, collaborate in so-called pooling strategies where they jointly mine for Bitcoins. Whenever some pool participant is successful, the earned rewards are appropriately split among all pool participants. Currently a dozen of different pooling strategies (i.e., methods for dis...

We propose a model of prediction markets where participants are biased according to their social relationships. We relax the standard assumption of complete rationality and adopt an arguably more realistic model where agents are disproportionally influenced by their neighbors in a social network. We conduct extensive agent-based simulations of our model. We find that prices in prediction market...

In agent research, emergent narrative aims for practical solutions to the narrative paradox problem in both drama and interactive scenarios. At the same time, organisational frameworks can be used in games to provide flexibility, adaptiveness, or social-awareness. In this paper, we propose an extension of our cOncienS framework to support emergent narrative in games with two objectives: 1) prov...

Socially-aware traffic management exploits social signals to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end-user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. In the talk we show interdisciplinary efforts between communication networks and social ne...

There is a large amount of discussion in the literature about smart cities where the focus of the discourse is on gathering and analyzing real-time data from smartphones or other sensors to support public services such as vehicular traffic flow and utility consumption or to infer human behaviour. There does not appear to be any discussion of ‘socially’ smart cities where the focus is on using c...