Cognitive Modeling: Role of Artificial Intelligence
Ch. Venkata Appala Naidu1, K. Vedavathi2

1Ch. Venkata Appala Naidu, Research Scolar, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
2K. Vedavathi, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1624-1629 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3967048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The last 40 years of information technology evolution is more about how to automate the processes or tasks that are deterministic in nature. A deterministic task is an activity or a process which will have a sequence of well-defined steps between interaction entities. In such cases, one can develop software to automate the manual process by using any of one of the technology streams like Custom Development (using Java, .net, etc.) or BPM (Business Process Development) or RPA (Robotics Process Automation), etc. The critical component missing in these cases is cognitive nature. Cognitive nature means a process involves psychological thinking, sensing and understating of the knowledge, attitudes, natural behaviors, linguistics, etc.,in order to produce an output or a decision while solving a problem In this paper, we would like to present the application development for cognitive tasks by building Artificial Intelligence (AI) systems.Section I presents introduction, Section II gives basic foundations of AI. A computer program with AI and a computer program without AI have been discussed in section III. Section IV presents the current state of AI systems. Section V elaborates Artificial Intelligence stack and section VI presents the conclusion.
Keyword: Artificial Intelligence, Cognitive Systems, Big Data, NLP, Machine Learning.
Scope of the Article: Artificial Intelligence and Machine Learning