Goswami / Greene / Sarkar | Human Intelligence and Artificial Intelligence | Buch | 978-0-443-51523-1 | www.sack.de

Buch, Englisch, Format (B × H): 191 mm x 235 mm

Goswami / Greene / Sarkar

Human Intelligence and Artificial Intelligence

Connecting Cognitive Science with AI
Erscheinungsjahr 2027
ISBN: 978-0-443-51523-1
Verlag: Elsevier Science & Technology

Connecting Cognitive Science with AI

Buch, Englisch, Format (B × H): 191 mm x 235 mm

ISBN: 978-0-443-51523-1
Verlag: Elsevier Science & Technology


Human Intelligence and Artificial Intelligence: Connecting Cognitive Science with AI offers a comprehensive, multi-dimensional view of where AI stands today in relation to human intelligence and the opportunities and challenges that lie ahead. While currently cognitive science and AI courses are offered distinctly, this book equips readers with a foundational understanding of human cognition and how it shapes the field of AI. The structure of the book is designed to move progressively from accomplished AI domains to emerging frontiers. Real-world examples, state-of-the-art models, and active research directions are paired with philosophical, psychological, and social insights to ground the technical discussions in human relevance. As human–machine interactions enter a new era with the advent of agentic AI, understanding human cognitive processes becomes essential to designing, operating, and governing agentic systems and to building a safe, trustworthy, and responsible AI ecosystem.

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Weitere Infos & Material


Part 1: Introduction to Human Cognition and History of Artificial Intelligence
1. Foundational Elements of Human Intelligence
2. History of Artificial Intelligence
3. Foundational Components and Architectures of AI
4. Regression Analysis
5. Classification and Clustering
6. Performance Measurement

Part 2: What AI Has (Almost) Perfected - Knowledge Representation and Processing in the Physical World
7. State-of-the-Art Models and Architectures for Computer Vision and Natural Language Processing
8. Deep Learning and Reinforcement Learning
9. Transformers and Expert Systems
10. Developments in Data Acquisition and Knowledge Representation
11. Big Data and Small Data
12. Examples and Case Studies in Various Application Domains

Part 3: AI’s Next Frontier – Adaptive, Sustainable, Trustworthy and Ethical Human-Centered AI Ecosystems
13. AI Models Mimicking Human Cognitive Functions – Common-Sense Reasoning, Sarcasm, Empathy, and Moral Judgment
14. Human-Centered AI Ecosystems - Multi-Agent and Meta-Cognitive Architectures
15. The Evolution of Governance to Ensure Safe, Ethical and Socially Responsible AI Development and Use


Sarkar, Anita
Anita Sarkar has 25+ years of industry experience at the intersection of emerging technologies and human behavior. She started her career as a telecommunications research engineer and project leader in big tech companies including Intel and Yahoo and was a part of the ITU-T working committee for VOIP protocol standards. Subsequently she led development of NLP based products and AI platforms at both startups and Fortune 500 financial institutions. Her work with conversational AI and personalization products has led her to explore AI capabilities and limitations in identifying human behavior, emotion and preferences. Her experience working in highly regulated industries has also led her to focus on governance processes and programmatic frameworks for safe and ethical AI. Anita advises organizations on AI/ML strategy, serves on Duke’s AI Masters in Engineering advisory board, and is an active angel investor in multiple AI based startups spanning medical imaging and consumer marketing. Previously she has served as an Entrepreneur in Residence for the University of North Carolina Charlotte’s accelerator and served as a mentor on UNESCO’s global CodetheCurve hackathon during Covid. Anita has spoken in multiple industry forums on AI, innovation and women in technology and leadership. Anita has a B.E. in Computer Sc from NIT Durgapur, India, an M.Tech. in Computer Science from Indian Institute of Technology Delhi and an MBA from Duke University Fuqua School of Business. Driven by her experience and passion in the interdisciplinary field of human behavior and AI, Anita has completed a Graduate Certificate in Cognitive Science from the University of North Carolina, Charlotte, with graduate level coursework in computational modeling of human behavior and cognitive neuroscience, with a focus on the application of NLP and computer vision in the detection and interventions for Alzheimer’s disease.

Greene, Richard J.
Richard J. Greene received his PhD in 1989 from the University of Alabama, with a dissertation on Expert Vision System for applied topological features in model-based computer vision. Dr Greene was a member of the MIT, Lincoln Laboratory, Information Systems Technology Group, where he was the lead engineer for Ground Station Design for Boeing 707 Surveillance Aircraft for USAF, project leader for Tactical Speech Processing and system architect for a real-time image analysis system using object-oriented databases. Prior to this, Dr Green was a technical leader and Principal Investigator at a number of research labs including the Argonne National Laboratory and General Research Corporation, Alabama. His projects included design and implementation of a tactical sensor fusion prototype system using AI techniques for situation assessment, image exploitation, and simulation scenario development, expert systems for intelligent materials processing, database query optimization using semantic information, logistics expert system prototype for NASA, natural language frontend for database access, neural networks for battle management, and application of artificial intelligence techniques for software engineering environments. Dr Greene has also been an adjunct faculty at various universities including the University of Alabama and the University of New Hampshire.

Goswami, Tilottama
Tilottama Goswami has received a BE degree with Honors in Computer Science and Engineering from the National Institute of Technology, Durgapur; and an MS degree in Computer Science (High Distinction) from Rivier University, Nashua, New Hampshire, United States. She was awarded a PhD in Computer Science from the University of Hyderabad. Presently, Dr. Goswami is Professor in the Department of Information Technology, Vasavi College of Engineering, Hyderabad, India. She has, overall, 23 years of experience in academia, research, and the IT industry. Her research interests are computer vision, machine learning, and image processing. She has been granted an Australian patent for her research work. Dr. Goswami has been conferred with the Distinguished Scientist Award by IJIEMR-Elsevier SSRN, Vijayawada, India. She is also a recipient of the Women Researcher Award, awarded by the REST Society for Research International, India. Dr. Goswami is the recipient of University Grants Commission- Basic Scientific Research (UGC-BSR) Fellowship (under the Government of India). She has been awarded the Star Team Award for developing efficient software for GeoMedia (GIS), leading to complete customer satisfaction at Hexagon (Intergraph), Hyderabad. She is Editorial Board Member of two international journals and has contributed editorial articles and chapters in Scopus-indexed books. Dr. Goswami is an IEEE Senior Member in IEEE CIS/GRSS Chapter Hyderabad Section. She is presently serving as Chairperson of ACM Hyderabad Deccan Professional Chapter and has also served as ACM-W Chair. Dr. Goswami is an active researcher and contributes to society by delivering workshops and guest lectures, participating as technical program committee, tutorial chair, and reviewer in international conferences and journals. She has delivered more than 20 invited talks in the area of artificial intelligence, machine learning algorithms, statistical methods, computer vision, and color image processing. Dr. Goswami has been convener for international events such as Distinguished Lecture Series, AI Webinar Series, Workshops, and Conclaves. Dr. Goswami actively maintains her industry engagement through industry exchange program and project consultancy on applications of AI in various problem domains.



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