The book explores the creation of digital personalities that mimic human behaviour and cognition, authored by AI and computer science experts. It covers the technical foundations needed to develop advanced digital personas, focusing on the integration of ontologies, natural language processing (NLP), and dialogue generation. Ontologies are highlighted for their role in structuring knowledge, while NLP techniques are explored for enabling human-like dialogue. The book examines algorithms for sentiment analysis, entity recognition, and context understanding. Dialogue generation is also discussed, from rule-based methods to deep learning, emphasizing seamless user interactions. Ethical concerns, such as privacy, bias, and accountability, are addressed, advocating for responsible AI practices. This volume is a comprehensive resource for researchers and enthusiasts, offering both theoretical insights and practical guidance on building lifelike digital entities and fostering emotionally engaging human-computer interactions.
This book comprehensively explores ontologies, starting with foundational concepts and advancing to complex applications across various fields. It covers essential elements like vocabulary design, inter-task learning transfer, and reinforcement learning.
Preface. Introduction to Ontologies. Logical Foundation for Ontologies. Developing Good Ontologies. Legal Vocabularies in Digital Context. Generation of Dialogue for a Digital Personality. Case Based Reasoning Approach in Ontologies. Improve Learning Transfer. Learning Inter-Task Mapping. Value Function Transfer via Inter-Task Mapping. Extending Transfer via Inter-Task Mapping. Transfer between Reinforcement Learning Methods. Evaluation and Optimization in Human Control Strategy. Transfer of Human Control and Navigation Skills. Knowledge Transfer in Text Mining and Improve Learning Transfer Computer Vision. Build-up Knowledge Representation. Knowledge Planning. Representation of Knowledge. Grammar of Knowledge Representation. Index.
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Biografisk notat
Kuldeep Singh Kaswan, is a Professor in School of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India. His contributions focus on BCI, Cyborg and Data Science. He received a Doctorate in Computer Science from Banasthali Vidyapith, Rajasthan. He received a Doctor of Engineering (D. Eng.) from Dana Brain Health Institute, Iran. He has supervised many UG and PG projects of engineering students. He has published more than 80 Books and book chapters at National/International level.
Jagjit Singh Dhatterwal, is presently working as an Associate Professor in the Department of Artificial Intelligence & Data Science Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He has also worked with Maharishi Dayanand University, Rohtak and PDM University, Bahadurgarh, Haryana, India. His areas of interest include Artificial Intelligence, BCI, Cyborg and Multi-Agents Technology. He has published a number of books, book chapters, journal papers and conference papers.
Anand Nayyar, is with School of Computer Science as Professor, Scientist, Vice- Chairman (Research) and Director of IoT and Intelligent Systems Lab. He has published more than 250+ Research papers in ISI-SCI/SCIE/SSCI cum SCOPUS/ESCI Journals. He is listed in Top 2% Scientists and Research.com. He is Managing Editor of International Journal of Knowledge and Systems Science and Editor in Chief of International Journal of Smart Vehicles and Smart Vehicles, both published by IGI-Global, USA. His areas of interest include wireless sensor networks, Internet of Things, cloud computing, artificial intelligence and cyber security.