A Cognitive Interactive Framework for Multi-document Summarizer Anupam Srivastava, Divij Vaidya, Malay Singh, Pranjal Singh, U.S. Tiwary Abstract In this paper, we present a generic interactive framework based on human cognition, where the system can learn continuously from the Internet and from its in- teraction with the users. To show the utilization of this framework, Iintelli, an agent based application for multiple text document summarization is developed and com- pared with the MEAD on the Cran Data Set. Mead is a natural language processing- based summarizer, which provides summary by extracting sentences from a cluster of related documents and Cran is a data set maintained by Information Retrieval Group at University of Glasgow. The human knowledge and experience are repre- sented through fuzzy logic-based word-mesh and sentence-mesh, which can learn. Learning is performed using the competitive models, namely, Maxnet and Mexican Hat Models. As the result shows, the framework performs well as a multi-document summarizer. Though we have tested the framework for multi-document summariza- tion, we believe that it can be extended to develop interactive applications for other domains and tasks. 1 Introduction We live in a world where the computational capability of machines is increasing at a tremendous rate. However, these machines are still constrained due to lack of human-like intelligence and cognition. Active research in the area of machine learn- ing and Human Computer Interaction has led to the next generation of machines Anupam Srivastava e-mail: iit2008002@iiita.ac.in, Divij Vaidya e-mail: iit2008077@iiita.ac.in, Malay Singh e-mail: iit2008001@iiita.ac.in · Pranjal Kr. Singh e-mail: iit2008008@iiita.ac.in, Dr. U. S. Tiwary e-mail: ust@iiita.ac.in Indian Institute of Information Technology ,Allahabad,UP India 1