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Higher-order theory of mind Building bridges between logic and cognitive science Rineke Verbrugge Institute of Artficial Intelligence Faculty of Mathematics and Natural Sciences University of Groningen Workshop on Logic and Social Interaction


  1. Higher-order theory of mind Building bridges between logic and cognitive science Rineke Verbrugge Institute of Artficial Intelligence Faculty of Mathematics and Natural Sciences University of Groningen Workshop on Logic and Social Interaction Chennai, 7-8 January 2009 1

  2. Overview • What is higher-order theory of mind? • The challenge: mixed multi-agent environments • Some current cognitive science perspectives on theory of mind  Pilot 1: Mastersminds  Pilot 2: Backward induction versus story-tasks • Logical and computational models of higher- order social cognition  Project preview 2

  3. Theory of mind • Understand and predict external behavior by attributing internal mental states:  knowledge, beliefs, intentions, plans 3

  4. 4

  5. Other people’s minds • In daily life it is important to reason about others’ knowledge, beliefs, intentions. • Cooperation:  Does he know that I intend to pass the ball to him, and not to Van Nistelrooy? • Competition in card games:  I show her a card from which I believe that she can deduce as little new knowledge as possible.  Does she know that I know that she’s blu ffj ng (trying to make me believe she has more valuable cards than she in fact possesses)? • Negotiation  I do not want the buyer to know that I am in a hurry with the sale because I already bought a new house 5

  6. Other people’s minds • Natural language interpretation and common knowledge  Can I felicitously refer to “the movie showing at the Roxy tonight”?  I did see him noticing the announcement in the afternoon paper, but maybe he does not know that I saw it, so maybe he does not know that I know that he knows that “the movie showing at the Roxy tonight” is “Monkey Business”. [Clark & Marshall] 6

  7. Theory of mind: defining the higher orders 1-order attribution: concerns mental states • about world facts k+1-order: concerns another’s k-order • attribution Higher-order knowledge in epistemic logic: • 1st-order: K C p  2nd-order: K B K C p  3rd-order: ¬ K S K B K C p  7

  8. Overview • What is higher-order theory of mind? • The challenge: mixed multi-agent environments • Some current cognitive science perspectives on theory of mind  Pilot 1: Mastersminds  Pilot 2: Backward induction versus story-tasks • Logical and computational models of higher- order social cognition  Project preview 8

  9. Current multi-agent systems • Multi-agent system  cooperating computational systems  solve complex problems beyond expertise of individuals • Applications  air tra ffj c control  flexible car manufacturing control (Daimler-Chrysler) 9

  10. Future multi-agent environments • Trend  Mixed teams: robots, persons and software agents  Example: rescue systems after disasters • Challenge  Current formal models of ‘ideal’ intelligent interaction  But human participants have bounded rationality • Aim  Design improved intelligent interaction  Use strengths and weaknesses of di fg erent agent types  Investigate how agents learn complex interactions 10

  11. Modal logics for multi-agent • Many modal logics for intelligent interaction place unrealistic assumptions on human reasoning  logical omniscience  positive and negative introspection  unbounded recursion 11

  12. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y 12

  13. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 12

  14. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 12

  15. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 2. S: I know you didn’t know. 12

  16. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 2. S: I know you didn’t know. 3. P: Now I know the numbers. 12

  17. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 2. S: I know you didn’t know. 3. P: Now I know the numbers. 4. S: Now I know them, too. 12

  18. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 2. S: I know you didn’t know. 3. P: Now I know the numbers. 4. S: Now I know them, too. Compute x and y! 12

  19. A puzzle: Sum and Product The following is common knowledge: x,y ∈ N with 2 ≤ x ≤ y ≤ 99 • • S and P are perfect at epistemic logic and arithmetic • S knows the sum of x,y • P knows the product of x,y The following dialogue takes place: 1. P: I don’t know the numbers. 2. S: I know you didn’t know. 3. P: Now I know the numbers. 4. S: Now I know them, too. Compute x and y! 12 Freudenthal, 1968 / McCarthy / Plaza / Panti

  20. Kennislogica Som & Product, II Het Kripke model vóór de dialoog begint 13

  21. Kennislogica Som & Product, II Het Kripke model vóór de dialoog begint 13

  22. Sum & Product puzzle 1. P: I don’t know the numbers Puzzle The Kripke model after 1: all product-isolated states can be deleted 14

  23. Sum & Product puzzle 1. P: I don’t know the numbers 2. S: I knew you didn’t know The Kripke model after 2: all the states - connected to a product-isolated state can be deleted 15

  24. Sum & Product puzzle 1. P: I don’t know the numbers 2. S: I knew you didn’t know 3. P: Now I know the numbers The Kripke model after 3: those states that were product-isolated in the previous model, are left over. 16

  25. Sum & Product puzzle 1. P: I don’t know the numbers 2. S: I knew you didn’t know 3. P: Now I know the numbers 4. S: Now I know them, too The Kripke model after 4: states that were sum-isolated in the previous model, are left over. 17

  26. Theory of mind: how di ffj cult? • Introspection su ffj ces to know that, at least sometimes, some people (logicians) can reason correctly at various orders of theory of mind. No amount of experimentation can deny this. • For more general questions like  Under what circumstances do people engage in ToM?  Do they apply it correctly?  Can they learn to apply it in unusual contexts? empirical research is needed. • Some experimental findings indicate that the degree to which people correctly apply ToM is rather less than is often assumed. 18

  27. Overview • What is higher-order theory of mind? • The challenge: mixed multi-agent environments • Some current cognitive science perspectives on theory of mind  Pilot 1: Mastersminds  Pilot 2: Backward induction versus story-tasks • Logical and computational models of higher-order social cognition  Project preview 19

  28. Cognitive aspects: first-order theory of mind • Small infants reason about the other’s behavior and intentions (earlier than about other’s beliefs)  And even some apes and crows seem to be able do this (Call and Tomasello; Clayton)  But do they explicitly represent mental states, or do they simply follow ‘behavioral rules’? 20

  29. Cognitive aspects: first-order theory of mind • By age 4, the ability to distinguish between one’s own and others’ beliefs is firmly in place. • Experiment with reflective ‘false-belief’ task [Wimmer & Perner, Cognition, 1983]  “Maxi left chocolate in blue cupboard, then left the room. In Maxi’s absence, his mother moved the chocolate to the green cupboard.”  “Where will Maxi look for the chocolate first?”  3 year old thought Maxi would later look for the chocolate in the green cupboard (confusing Max’s belief with her own).  5 year old thought Max would follow his own, false, belief. 21

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