This article presents an overview of Ipseity, an open-source platform developed in C++ with the Qt framework. The current version of the platform includes a set of plugins implementing single-agent and multi-agent environments, hardcoded controllers based on Artificial Intelligence (AI) techniques, classical Reinforcement Learning (RL) techniques like Q-Learning, Sarsa, Epsilon-Greedy combined ...

Artificial intelligence researchers have been attracted by the idea of having robots learn how to accomplish a task, rather than being told explicitly. Reinforcement learning has been proposed as an appealing framework to be used in controlling mobile agents. Robot learning research, as well as research in biological systems, face many similar problems in order to display high flexibility in pe...

One of the most important prerequisites in base plan for long-term development of all countries is high education level in society what includes e-learning studies. The time is coming when global tasks could be solved only with communication and learning in world level. Ontological engineering have become an efficient methodology for knowledge representation and management in many domains and t...

RankBrain is Google’s name for a machine-learning artificial intelligence system that’s used to help process its search results. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed...

Computer paralinguistic analysis is widely used in security systems, biometric research, call centers and banks. Paralinguistic models estimate different physical properties of voice, such as pitch, intensity, formants harmonics to classify emotions. The main goal find features that would be robust outliers will retain variety human voice at the same time. Moreover, model must able on a time sc...

Alan Turing proposed the imitation game in his 1950 paper titled “Computing Machinery and Intelligence” [1]. This paper discussed the arguments for and against artificial intelligence that existed then. Since this time, science has advanced in areas of neuroscience, machine learning, and computer theory granting us a different perspective on the argument. This paper discusses the history of Art...

the purpose of this research is to investigate the effects of intelligence beliefs and achievement motivation on learning strategies and academic performance of agricultural students. this research was descriptive - correlation with data collected using questionnaire. the statistical population included students in colleges of agriculture at universities of tehran, bouali sina, ilam, shahid bah...

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration an...