AI for Behavioural Science

Table of contents

1. Cover
2. Half-Title
3. Title
4. Copyright
5. Contents
6. Introduction
7. 1 Human Behaviour and Machine Behaviour
   1. Machine Behaviour
      1. Understanding Black Boxes
      2. Are Machines Behaving?
      3. Machines as Mirrors
      4. Programming Conflict
   2. Shifting Focus
   3. Summary: Chapter 1
   4. Notes
8. 2 {Definitions: “…”}
   1. Introduction
   2. Behaviour
   3. Intelligence
   4. Machine
   5. Summary: Chapter 2
   6. Notes
9. 3 The Autonomous Choice Architect
   1. Introduction
   2. Reconceptualisation (1): Sets of Possible Designs
      1. A Note on Potency
   3. Architecting Autonomously
      1. The Policymaker
      2. The Retailer
      3. The Informer
      4. The Shapeshifter
   4. Reconceptualisation (2): Nudging, through the Eye of a Machine
      1. Behavioural Friction
      2. Inverted-U
      3. What’s in a Shape?
   5. Summary: Chapter 3
   6. Notes
10. 4 AI Knows Best
    1. Introduction
    2. “What Is a Hypernudge?” Part 1
    3. “What Is a Hypernudge?” Part 2
       1. Dynamism
          1. Personalisation
          2. Real-time (Re)Configuration
       2. A Note on Predictive Capacity and Hiddenness
    4. Three Burdens
       1. The Burden of Avoidance
       2. The Burden of Understanding
       3. The Burden of Experimentation
    5. Summary: Chapter 4
    6. Notes
11. 5 Some Concluding Discussions
    1. Strange Loops and Strange Realities
    2. Distance from Action
    3. Assumption of Error
    4. Behavioural Logic
    5. The Return of Behaviourism?
    6. Summary: Chapter 5
    7. Notes
12. References
13. Index