This research focuses on handling temporal constraints in interaction protocols for multi-agent systems. There is a dire need of standardized interaction protocols that can be used to handle timing aspects in real-time multi-agent system's negotiation. The most commonly used Foundation for Intelligent Physical Agents Protocol lacks the appropriate specification in this regard. In real-time systems timing constraint is a major concern for all of its tasks and goals. Agents require real-time responses and must eliminate the possibility of massive communication between them. The timing specification of these real-time multi-agent systems in which agents communicate with each other to achieve their goals within deadline will be of great value for their correct functioning. A high degree of dependability and predictability is expected from real-time software agents. The basis of our work is the standardized interaction protocols to support the communication between agents in real-time environment and this is possible via message passing. By incorporation of welldefined timing parameters in Foundation for Intelligent Physical Agents performatives, we have enabled them to be used in any realtime multi-agent's communication. We demonstrate the usage and effectiveness of our proposed real-time performatives using a case study of monitoring boats in marine reserves in which the agents interact with each other to accomplish their goals.

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As a new computational paradigm, cloud computing is attracting a lot of interest from researchers in the field of the business community and information technology sector and it can integrate with several heterogeneous resources makes it distinguished and unique to fulfill the demands of different types of users. The rapid increase in data volume and fixed access to online resources, which is related to all departments need to mine data for the discovery of knowledge.  Its principal peculiarities incorporate a versatile asset design and along this line a suitable system for tending to be comprehended in an ideal mode. From the specific situations where cloud computing can be integrated, its use in business information and intelligence also conveys the highest aspirations from data mining to updates. This study gives an outline of the recent condition of the arrangement of Cloud Computing and elaborates, its implications in Business Intelligence and Data Mining. This study defines multiple layers that are expected to create such a framework in distinctive levels of deliberation, from the fundamental equipment stages to the product assets accessible to actualize the applications. At the end of this study, a few cases related to Data mining methodologies have been relocated to the Cloud Computing paradigm.

Since numerous years, researchers have to outline keen operators to accomplish the Artificial General Intelligence. Each new science revelation is an open challenge to all researchers. More than twenty years prior to a group of researchers discovered exceptional cerebrum cells, called reflect neurons in monkeys. These cells gave off an impression of being actuated both when the monkey accomplished something itself and when the monkey basically watched another monkey do a similar thing. This new discovery opened a new door for a scientist because of Mirror Neurons functionalities that can be huge contribute to cognitive science, neuroscience, impacting on Artificial General Intelligence. Mirror neuron functionality improves the Machine's learning. This research paper develops models for social interaction in which a machine may have the ability to learn the next person emotional state using mirror neurons and show empathy towards emotions.