The quest to 'forward-engineer' and fabricate biological machines remains a grand challenge. Towards this end, we have fabricated locomotive "bio-bots" from hydrogels and cardiomyocytes using a 3D printer. The multi-material bio-bot consisted of a 'biological bimorph' cantilever structure as the actuator to power the bio-bot, and a base structure to define the asymmetric shape for locomotion. T...

Bot detection is an emerging problem in social games that requires different approaches from those used in massively multi-player online games (MMOGs). We focus on mouse selections as a key element of bot detection. We hypothesize that certain interface elements result in predictable differences in mouse selections, which we call spatial game signatures, and that those signatures can be used to...

Intelligent Tutoring Systems are computer programs that aim at providing personalized instruction to students. In recent years, conversational robots, usually known as chatterbots, become very popular in the Internet, and ALICE (Artificial Linguistic Internet Computer Entity) is probably the most popular one. ALICE brain is written in AIML (Artificial Intelligence Markup Language), an open XML ...

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In the scope of the"Chess-Bot"project, this study's goal is to choose the right model for the robotic arm that the"the Chess-Bot"will use to move the pawn from a cell to another. In this paper, there is the definition and the structure of a robot arm. Also, the different engineering and kinematics fundamentals of the robot and its components will be detailed. Furthermore, the different structur...

Traditionally, the programming of bot behaviors for commercial computer games applies rule-based approaches. But even complex or fuzzyfied automatons cannot really challenge experienced players. This contribution examines whether bot programming can be treated as a pattern recognition problem and whether behaviors can be learned from recorded games. First, we sketch a technical computing interf...

This paper gives an overview of impersonation bots that generate output in one or possibly, multiple modalities. We also discuss rapidly advancing areas of machine learning and artificial intelligence that could lead to frighteningly powerful new multi-modal social bots. Our main conclusion is that most commonly known bots are one dimensional (i.e., chatterbot), and far from deceiving serious i...