Behavioural Sciences: Understanding Humanlike Decision Making and Interaction in Robotics

Chapters Brief Overview:

1: Behavioral sciences: Examines foundational principles and their applications in robotics.

2: Cognitive neuroscience: Explores brain functions influencing humanrobot interaction.

3: Bounded rationality: Discusses decisionmaking limits in robotics and AI design.

4: Behavioral economics: Analyzes economic behavior to enhance adaptive robotic responses.

5: Neuroeconomics: Links decisionmaking neuroscience to improve robotic systems.

6: Rational agent: Introduces rational behavior models for autonomous robots.

7: Neuromarketing: Applies insights into consumer behavior to humancentered robotic systems.

8: Affective science: Investigates emotional processing relevant to social robotics.

9: Howard Nusbaum: Highlights contributions shaping cognitive and robotic research.

10: Choice architecture: Shows how decision environments impact robotic design choices.

11: Basic science (psychology): Provides a psychological basis for humancentered robotics.

12: Consumer neuroscience: Delves into how neural responses shape userfriendly robotics.

13: Subfields of psychology: Explores areas informing behaviorally adaptive robotics.

14: Cognitive bias mitigation: Addresses biases in AI and robotic systems.

15: Nudge theory: Examines subtle design elements to influence userrobot interactions.

16: Paul Glimcher: Discusses his role in advancing neuroeconomics and robotics.

17: Neuromanagement: Integrates management neuroscience into robotics and AI.

18: Elizabeth A. Phelps: Reviews her work on emotion’s impact on humanrobot interaction.

19: Giorgio Coricelli: Examines his contributions to decisionmaking research in robotics.

20: Carlos AlósFerrer: Explores how his research enhances economic behaviors in AI.

21: Cognitive science: Summarizes key cognitive theories shaping modern robotics.

By studying behavioral science within the context of robotics, readers gain powerful insights that advance their understanding, helping create more responsive, humancentric robotic systems. This book is essential for those eager to bridge the gap between behavioral science and robotics, proving invaluable across industries and academic disciplines.