In this paper, we study aggregation in a swarm of simple robots, called s-bots, having the capability to self-organize and selfassemble to form a robotic system, called a swarm-bot. The aggregation process, observed in many biological systems, is of fundamental importance since it is the prerequisite for other forms of cooperation that involve self-organization and self-assembling. We consider ...

Currently, it is unavoidable of typing CAPTCHA (Completely Automated Public Turing test to tell Computer and Human Apart) before accessing to the Internet. This technique mostly can distinguish bots from human being. Thus, the system is protected from any unwanted persons or programs. There are various researches proposed several of CAPTCHA techniques to protect bots. These are such as Text-bas...

Symbolic interactionist principles of sociology are based on the idea that human action is guided by culturally shared symbolic representations of identities, behaviours, situations and emotions. Shared linguistic, paralinguistic, or kinesic elements allow humans to coordinate action by enacting identities in social situations. Structures of identitybased interactions can lead to the enactment ...

This paper studies information diffusion in social media and the potential role of bots influencing public opinions. Using Twitter data on 2016 E.U. Referendum (“Brexit”) U.S. Presidential Election, we find that is largely complete within 1–2 h. Stronger between agents with similar beliefs consistent “echo chambers” view media. Our results are notion could have a tangible effect tweeting activi...

In this paper it is shown an application of an agent-oriented programming paradigm with a reasoning layer based on a logic programming. The presented solution was used to build bots in Counter-Strike video game. The software architecture for new bots has been presented and benefits were discussed. This article does not discusses all the work in detail, but provides more general idea about resea...

We propose different behaviour and interaction related indicators of artificial actors (bots) and show how they can be separated from natural users in a virtual dating market. A finite mixture classification model is applied on the different behavioural and interactional information to classify users into bot vs. non-botcategories. Finally the validity of the classification model and the impact...

Game bots are a critical threat to Massively Multiplayer Online Role-Playing Games (MMORPGs) because they can seriously damage the reputation and in-game economy equilibrium of MMORPGs. Existing game bot detection techniques are not only generally sensitive to changes in game contents but also limited in detecting emerging bot patterns that were hitherto unknown. To overcome the limitation of l...

The Videogame Industry of today is now just as strong as, and generates similar revenues to the Film Industry. Computer Games are distributed throughout the world and are sold to millions of people. Of the many different types of games, one of the most popular genres is car racing. Developers of this type of game are increasingly improving their Artificial Intelligence Systems so that their vir...

The gaming industry has reached a point where improving graphics has only a small effect on how much a player will enjoy a game. The focus has turned to adding more humanlike characteristics into computer game agents. Machine learning techniques are scarcely being used in games, although they do offer powerful means for creating humanlike behaviors in agents. The first person shooter (FPS), Qua...

Given a complete unoriented point set, we propose a binary orientation tree (BOT) for volume and surface representation, which roughly splits the space into the interior and exterior regions with respect to the input point set. The BOTs are constructed by performing a traditional octree subdivision technique while the corners of each cell are associated with a tag indicating the in/out relation...