Open-field behaviour was recorded during 6-min forced exploration tests. In total, 483 tests were pedormed for following mice species: Apodemus agrarius, A.microps, A.sylvaticus, A.flavicollis, A.mystacinus, Mus musculus, M.domesticus and F1 hybrids of the last two species. Considerable variation among species was found for most behavioural patterns recorded. High level of number of squares cro...

We study indirect reciprocity and strategic reputation building in an experimental helping game. At any time only half of the subjects can build a reputation. This allows us to study both pure indirect reciprocity that is not contaminated by strategic reputation building and the impact of incentives for strategic reputation building on the helping rate. We find that pure indirect reciprocity ex...

Objective: This work proposes a novel approach to model the spatiotemporal distribution of crowd motions and detect anomalous events. Methods: We first learn the regions of interest (ROIs) which inform the behavioral patterns by trajectory analysis with Hierarchical Dirichlet Processes (HDP), so that the main trends of crowd motions can be modeled. Based on the ROIs, we then build a series of h...

Given a set of requirements structured as design problems, we can apply design patterns to solve each problem individually. Much of the published literature on design patterns addresses this problem—pattern association; however, there is no systematic and practical way that shows how to integrate those individual solutions together. We propose a compositional model based on design patterns by a...

The increasing availability of massive mobile phone call data records (CDR) has opened new opportunities for analyzing and understanding real-life social phenomena and human dynamics. In order to better interpret this enormous amount of data it is useful to contextualize them with information about the circumstances under which they has been generated. Nowadays, linked open data initiative prov...

Information visualization systems have traditionally followed a one-size-fits-all paradigm with respect to their users, i.e., their design is seldom personalized to the specific characteristics of users (e.g. perceptual abilities) or their tasks (e.g. task difficulty). In view of creating information visualization systems that can adapt to each individual user and task, this paper provides an a...

This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzis law Pawlak during the early 1980s provides the foundation for the construction of classifiers relative to what are known as temporal pattern tables. It is quite remarkable that temporal patterns can be treated as feat...

Data mining has become an essential component in various fields of human life including business, education, medical and scientific. Cluster analysis is an important data mining technique used to find data segmentation and pattern recognition. This paper proposes the application of Fuzzy Subtractive Clustering (FSC) technique as an approach to define Big Five Patterns (B5P) using psychometric t...

Support the demultiplexing and dispatching of multiple event handlers, which are triggered concurrently by multiple events. The Reactor pattern simplifies event-driven applications by integrating the demultiplexing of events and the dispatching of event handlers.

This work demonstrates a mechanism that autonomously organizes an agent’s sequential behavior. The behavior organization is driven by pre-defined values associated with primitive behavioral patterns. The agent learns increasingly elaborated behaviors through its interactions with its environment. These learned behaviors are gradually organized in a hierarchy that reflects how the agent exploits...