Cognitive Science: Understanding Humanlike Decision Making in Artificial Systems

Explore the fascinating intersection of cognitive science and robotics with "Cognitive Science," a comprehensive guide in the Robotics Science series. This book presents key insights into how the mind works, artificial intelligence, and cognitive models that shape cuttingedge robotics. Whether you're a professional, a student, or an enthusiast, this work offers valuable knowledge for anyone interested in advancing their understanding of the cognitive mechanisms behind intelligent systems.

Chapters Brief Overview:

1: Cognitive science: Introduction to cognitive science and its role in understanding intelligent behavior.

2: Cognitive neuroscience: A look at how the brain's structure and functions relate to cognitive processes.

3: Cognition: Exploring mental processes such as perception, memory, and decisionmaking.

4: Artificial consciousness: Delving into the possibility and challenges of creating conscious machines.

5: Connectionism: Examining neural networks and how they model human cognition.

6: Cognitive model: Insight into computational models designed to simulate human cognitive functions.

7: Language of thought hypothesis: Understanding the theory that the mind uses a languagelike system for thinking.

8: ACTR: An overview of the Adaptive Control of ThoughtRational framework in cognitive science.

9: Dynamical systems theory: How dynamic systems theories explain cognitive processes and behavior.

10: Cognitive architecture: Examining the underlying structures that support intelligent behavior in artificial systems.

11: Computational cognition: Analyzing how computational models are used to simulate cognitive processes.

12: Neurophilosophy: The intersection of neuroscience and philosophy in understanding the mind.

13: Cognitive revolution: How cognitive science emerged as a dominant field in psychology and related sciences.

14: Stephen Grossberg: A deep dive into Grossberg's contributions to neural networks and cognitive modeling.

15: Computational theory of mind: Understanding the mind as an informationprocessing system through computational theory.

16: Embodied cognitive science: Exploring the role of the body in cognitive processes and intelligence.

17: Ron Sun: A look at Ron Sun’s work in cognitive architectures and modeling intelligent systems.

18: Basic science (psychology): The foundation of cognitive science grounded in psychological principles.

19: Embodied cognition: An examination of how cognition is shaped by bodily experiences and interactions with the environment.

20: Cognitive psychology: An overview of cognitive psychology’s role in understanding human cognition.

21: Neuroscience: A deeper look at the brain’s neural mechanisms and their contribution to cognition.

This book provides a thorough understanding of how cognitive processes inform the development of robotic systems. It is essential reading for anyone aiming to grasp the theoretical and practical underpinnings of artificial intelligence and robotics. The knowledge in this book is more than just academic—it's a crucial resource for both understanding and building the next generation of intelligent machines.