Considering the current advancements in biometric sensors and other related technologies, as well as the use of bio-inspired models for AI improvements, we can infer that the swarm intelligence paradigm can be implemented in human daily spheres through the connectivity between user gadgets connected to the Internet of Things. This is a first step towards a real Ambient Intelligence, but also of a Global Intelligence. This unconscious (by the user) connectivity may alter the way by which we feel the world. Besides, with the arrival of new augmented ways of capturing and providing information or radical new ways of expanding our bodies (through synthetic biology or artificial prosthesis like brain-computer connections), we can be very close to a change which may radically affect our experience of ourselves and of the feeling of collectivity. We call it the techno-phenomenological turn. We show social implications, present challenges, and and open questions for the new kind of swarm intelligence-enhanced society, and provide the taxonomy of the field of study. We will also explore the possible roadmaps of this next possible situation.Keywords: Techno-phenomenological turn, consciousness; neuro-interface; radio-transmission; wireless communication; internet of everything; social development Swarm Intelligence and Systems IntersectionsSwarm intelligence (SI) is a concept which describes how complex social behaviours can come from simple non-coordinated individual actions. Ants/bees/termites/wasps colonies, for example, follow this kind of self-organizing and collective intelligence [1]. While no single member of the colony has the power or skills to make decisions about general coordinated actions, the colony behaviour is finally organized efficiently following basic rules. This natural and simple algorithmic behaviour has proven to be so successful that it has inspired AI experts for decades in the attempt to implement similar mechanisms into robot interactions or AI systems, creating a research field called computational swarm intelligence (CSI) [2]. However, we can also find SI activity among humans [3,4], and with the evolution towards a society of information, we can also talk about an SI implemented into the Internet of Things (IoT) [5][6][7]. Therefore, we can see that bioinspiration is a successful trend in AI research and that SI provides a reliable framework for the generation and modulation of social behaviours, even at computational and electronically-connected levels. Taking into account the increment of available smart materials and the technological possibilities of the augmenting/upgrading/enhancing of human bodies, we suggest a future scenario in which SI is part of human behaviour, managing not only unconscious but also conscious actions.

Potential function based methods play significant role in global and local path planning. While these methods are characterized with good reactive behavior and implementation simplicity, they suffer from a well-known problem of getting stuck in local minima of a navigation function. In this article we propose a modification of our original spline-based path planning algorithm for a mobile robot navigation, which succeeds to solve local minima problem and adds additional criteria of start and target points visibility to help optimizing the path selection. We apply a Voronoi graph based path as an input for iterative multi criteria optimization algorithm. The algorithm was implemented in Matlab environment and simulation results demonstrate that we succeeded to overcome our original algorithm pitfalls.

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We present a case study of implementing gasification in the Higher School for Information Technology and Information Systems of Kazan federal University - the teaching department educating the new generation of ICT professionals. A special platform for gamification was developed. This platform includes a cloud service accessible through any sort of mobile devices (iOS, Windows, Android) and web-interface. This service integrates with the existing university information services. The department works in the context of Bologna system. Every course in the curriculum is assigned certain credit, and every student has a certain value of mastering each of the courses in his or her curriculum. We not only made the current course progress easily available for each of the students, but also introduced "badges" that students may earn for completing complex tasks, and this tasks not easily formulated in terms of a student's rating. Therefore we introduced new complex learning goals in the form every student can easily grasp. We also developed an easy interface of the teacher to track the activity of every student, assign complex goals without creating an extra work overload. We introduced certain social services to the gasification platform developed without turing it into a "yet another social network". This platform can be used for both supporting online learning and integrating available online resources utilization into the ordinary "offline" curriculum. It can be also used perfectly well in the setting where no online learning resources are being used, although we don't consider it a wise teaching strategy. The approach, the solution and the outcome oft he experiment are discussed here.