This paper presents a two-dimensional modal logic for reasoning about the changing patterns of knowledge and social relationships in networks organised on the basis of a symmetric ‘friendship’ relation, providing a precise language for exploring ‘logic in the community’ [11]. Agents are placed in the model, allowing us to express such indexical facts as ‘I am your friend’ and ‘You, my friends, ...

Understanding what the IntAct database is, what type of data it stores and how the data are organised Knowing the different ways you can access and query the data that are stored in IntAct Understanding the information given in an IntAct entry and the results table pages Performing complex queries that can help to refine your search results Representing simple networks with the networkView func...

In this paper we introduce chain multi-agent causal models which are an extension of causal Bayesian networks to a multi-agent setting. Instead of 1 single agent modeling the entire domain, there are several agents organised in a chain, each modeling non-disjoint subsets of the domain. Every agent has a causal model over the variables in his domain, determined by an acyclic causal diagram and a...

In this work we study a simplified model of a neural activity flow in networks, whose connectivity is based on geometrical embedding, rather than being lattices or fully connected graphs. We present numerical results showing that as the spectrum (set of eigenvalues of adjacency matrix) of the resulting activity-based network develops a scale-free dependency. Moreover it strengthens and becomes ...

This paper draws on two extensive case studies to explore how the co-production and exchange of knowledge is organised during innovative activity. In the empirical cases multiple, transient innovation systems emerge, and self organise, around a particular problem. The emergence and evolution of these innovation systems involves the mutual intrapenetration of market and non-market forms of excha...

Causal concepts play a crucial role in many reasoning tasks. Organised as a model revealing the causal structure of a domain, they can guide inference through relevant knowledge. This is an especially difficult kind of knowledge to acquire, so some methods for automating the induction of causal models from data have been put forth. Here we review those that have a graph representation. Most wor...

This paper considers the public health impacts of the income-generating activities of organised crime. These range from the traditional vice activities of running prostitution and supplying narcotics, to the newer growth areas of human trafficking in its various forms, from international supply of young people and children as sex workers through deceit, coercion or purchase from family, through...

Studies of many complex systems have revealed new collective behaviours that emerge through the mechanisms self-organised critical fluctuations. Subject to external and endogenous driving forces, these states with long-range spatial temporal correlations often arise from intrinsic dynamics threshold nonlinearity geometry-conditioned interactions. The self-similarity fluctuations enables us desc...

The proliferation of “Things” over a network creates the Internet Things (IoT), where sensors integrate to collect data from environment long periods time. growth IoT applications will inevitably involve co-locating multiple wireless sensor networks, each serving different with, possibly, needs and constraints. Since energy is scarce in nodes equipped with non-rechargeable batteries, harvesting...