Evolution of Swarm Robotics Systems with Novelty Search

Novelty search is a recent artificial evolution technique that challenges traditional evolutionary approaches. In novelty search, solutions are rewarded based on their novelty, rather than their quality with respect to a predefined objective. The lack of a predefined objective precludes premature convergence caused by a deceptive fitness function. In this paper, we apply novelty search combined with NEAT to the evolution of neural controllers for homogeneous swarms of robots. Our empirical study is conducted in simulation, and we use a common swarm robotics task - aggregation, and a more challenging task - sharing of an energy recharging station. Our results show that novelty search is unaffected by deception, is notably effective in bootstrapping the evolution, can find solutions with lower complexity than fitness-based evolution, and can find a broad diversity of solutions for the same task. Even in non-deceptive setups, novelty search achieves solution qualities similar to those obtained in traditional fitness-based evolution. Our study also encompasses variants of novelty search that work in concert with fitness-based evolution to combine the exploratory character of novelty search with the exploitatory character of objective-based evolution. We show that these variants can further improve the performance of novelty search. Overall, our study shows that novelty search is a promising alternative for the evolution of controllers for robotic swarms.Comment: To appear in Swarm Intelligence (2013), ANTS Special Issue. The final publication will be available at link.springer.co

Transaction Banking: Respecting its role in the real economy. ECRI Policy Brief No. 6, 6 December 2013

This paper sketches the main features and issues related to recent market developments in global transaction banking (GTB), particularly in trade finance, cash management and correspondent banking. It describes the basic functioning of the GTB, its interaction with global financial markets and related implications of global regulatory developments such as Basel III. The interest in GTB has recently increased, since its low-risk profile, tendency to follow growth rates worldwide and relative independence from other financial instruments became an interesting diversification opportunity both for banks’ business models and for investors. Transaction banking has been a resilient business during the crisis, despite the reduction in world trade figures. In the post crisis period, GTB must cope with new challenges related to increased local and global regulation and the risk of inconsistency in regulatory approaches, which could negatively impact the global network and increased competition by new market entrants. Increased sophistication of corporate clients, as well as the pressure to develop and adopt technological innovations more quickly than other areas of banking continues to impact the business. The future of the industry closely depends on its ability to adjust to complex regulatory developments while at the same time being able to operate a global and efficient network

GoGlobal: How can contemporary design collaboration and e-commerce models grow the creative industries in developing countries?

Using previous case studies by the authors and a current live project, this paper considers whether the creative industries in a developing country (Ghana, Africa) can be nurtured through design collaboration and an e-commerce model to contribute significant economic growth through increasing international trade. The paper draws on practical experience of five annual projects, with a focus on GoGlobal Africa. Initiated in 2005, GoGlobal is a collaborative design research activity between the University of Technology Sydney, the Royal College of Art, the London School of Economics, RMIT Melbourne, and other partnering organisations. GoGlobal Africa was initiated in 2008 with 3 phases: creative studio with design students from the RCA UK and KNUST Ghana; an e-commerce process for supply, distribution and marketing; and a “hub” location to facilitate project delivery and dissemination. The context to GoGlobal is informed by the UNCTAD studies of global creative industries

Towards a Realistic Model for Failure Propagation in Interdependent Networks

Modern networks are becoming increasingly interdependent. As a prominent example, the smart grid is an electrical grid controlled through a communications network, which in turn is powered by the electrical grid. Such interdependencies create new vulnerabilities and make these networks more susceptible to failures. In particular, failures can easily spread across these networks due to their interdependencies, possibly causing cascade effects with a devastating impact on their functionalities. In this paper we focus on the interdependence between the power grid and the communications network, and propose a novel realistic model, HINT (Heterogeneous Interdependent NeTworks), to study the evolution of cascading failures. Our model takes into account the heterogeneity of such networks as well as their complex interdependencies. We compare HINT with previously proposed models both on synthetic and real network topologies. Experimental results show that existing models oversimplify the failure evolution and network functionality requirements, resulting in severe underestimations of the cascading failures.Comment: 7 pages, 6 figures, to be published in conference proceedings of IEEE International Conference on Computing, Networking and Communications (ICNC 2016), Kauai, US

Product innovation and network survival in the U.S. ATM and debit card network industry

This paper studies product innovation and firm survival in the U.S. ATM/debit card industry. The industry started with a few shared ATM networks in the early 1970s. The number of networks grew quickly up until the mid 1980s, but then declined sharply. We construct a theoretical model based on Jovanovic and MacDonald (1994). In contrast to their model focusing on cost-saving technological innovation, our model shows a major product innovation may also trigger the shakeout. The theoretical predictions are tested using a novel dataset on network entry, exit, size, location, ownership and product choices. The findings suggest introducing the point of sale debit function in the mid 1980s played an important role driving the network consolidation. Unlike previous studies, we find little advantage of being early industry entrants. Rather, due to network effects in the industry, large networks had better chance to adopt the product innovation and survive the shakeout. ; Original title: Product innovation and firm survival in a network industry ; Also issued as a Payments System Research Working Paper