The recent progress in artificial intelligence based machine learning techniques has renewed interest in building and designing the interactive characters. To achieve optimal performance many techniques have been used along with the neural networks, which are prepared end to end in tasks such as object recognition video games and board games. In this paper, a review of current literature is carried out where the challenges in real time strategy game and the tasks in a real-time environment are explored. The comparative analysis is made on different AI based machine learning techniques to comprehend the performance issues and other challenges faced. Furthermore, discussion of the advantages and disadvantages of each technique is conducted so as to understand and compare the efficiencies with the existing techniques based on the strategies.

Humans have a natural tendency to incarnate surrounding things and have been enthralled always by the generation of machines gifted with human inspired traits and abilities. Nowadays, Social-Human Robot Interaction challenges the Artificial Intelligence in some regards include: dynamic, partly unknown atmospheres, which weren't formerly devised for robots; physical communications with humans, which needs low latency, fine thus far socially suitable control policies; a wide range of situations with rich semantics to recognize and understand; and multi-model and natural interaction that authorizes common sense knowledge as well as the depiction of probably deviating mental models. This paper attempts to perform comparative analysis on artificial cognition and advances in AI for Social-Human Robot Interaction and to show core decision problems, which want to be addressed for a cognitive robot for successfully sharing tasks and space with a human. High-tech design techniques and approaches are carefully examined and compared; cases where the proposed system has been used are reported, successfully. The experiments showed the capability of the system to provide a Social-Humanoid Robot by means of human social manners and robotic emotions.

In the current generation, the rapid development of technologies has been impacting on web development technologies in a positive manner. Developing the framework is one such technology which helps the developers for building the applications. Also selecting the most suitable framework considerably affects the cost and time required for developing the application. This study compares the PHP7 supported frameworks of Code Igniter 3.1.9, Cake PHP 3.6 for the web application of a contact diary. The tests were performed using the Apache J Meter benchmarking tool. Depending on the results of the comparison recommendations are made that help the web developers in selecting the suitable framework for the real world web applications.