Artificial Intelligence for Cognitive Modeling 1st Edition

Capture the cutting edge of interdisciplinary research with Artificial Intelligence for Cognitive Modeling, 1st Edition by Pijush Dutta, Souvik Pal, Asok Kumar, and Korhan Cengiz. This authoritative volume bridges AI techniques and cognitive science to offer a clear, practical road map for modeling human thought, perception, and decision-making.

Discover accessible explanations of core concepts — from computational representations and learning algorithms to probabilistic models and neural architectures — paired with guided discussions on experimental design and model validation. Ideal for graduate students, researchers, and practitioners in AI, cognitive science, neuroscience, HCI, and psychology, the book emphasizes real-world applicability, showing how models illuminate human behavior across domains like language, attention, and reasoning.

Packed with illustrative examples and comparative analyses, this edition helps readers evaluate trade-offs between symbolic, connectionist, and hybrid approaches. Whether you’re building predictive models, designing experiments, or teaching advanced courses, you’ll find actionable insights that accelerate research and development.

Globally relevant and academically rigorous, Artificial Intelligence for Cognitive Modeling supports readers in North America, Europe, Asia, and beyond who seek practical, research-driven guidance at the intersection of AI and cognition. Equip yourself with the conceptual tools and methodological clarity to advance your work—order your copy today and bring sophisticated cognitive modeling techniques into your research and classrooms.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.