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Experimental Analysis of Choice

Experimental Analysis of Choice. Methods : concurrent schedules, concurrent chains, delay discounting, foraging contingencies, behavioral economic contingencies.

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Experimental Analysis of Choice

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  1. Experimental Analysis of Choice • Methods: concurrent schedules, concurrent chains, delay discounting, foraging contingencies, behavioral economic contingencies. • Models and Issues: matching/melioration, maximizing/optimality, hyperbolic discounting, behavioral economic/ecological models, behavior momentum, molar versus molecular issue, concepts of response strength. • Applications: self-control, drug abuse, gambling, risk, economics, behavioral ecology, social/political decision making.

  2. Operant Conditioning

  3. Operant Conditioning

  4. HERRNSTEIN’S HYPERBOLA:ASSUMPTIONS • 1. The matching law holds. • 2. Every contingency involves choice (e.g., one can respond to a given alternative or not). • 3. Not responding to one alternative means all others supply reinforcers too. • 4. The total behavior in a situation is constant.

  5. Operant Conditioning

  6. Operant Conditioning

  7. HERRNSTEIN’S HYPERBOLA

  8. Modern Version

  9. MULTIVARIATE RATE EQUATION Rout = { ln [a1 exp (1/Rin) + a0]}

  10. Operant Conditioning

  11. Operant Conditioning

  12. MATCHING LAW Herrnstein R1 / R1 = r1 / r2 Baum R1 / R2 = b (r1 / r2)a

  13. MATCHING LAW • R1 / R2 = r1 / r2 Herrnstein • R1 / R2 = b (r1 / r2)a Baum • V1 / V2 = b (r1 / r2)a1 (M1 / M2)a2 (D2 / D1)a3 • Rachlin’s “Value”

  14. Melioration: A Theory of Matching “To make better”: Behavior shifts to the higher return (lower cost) or equal local rates of reinforcement. (R1 / R2) = (r1 / r2), or (r1 / R1) = (r2 / R2) (reinforcers per response, i.e., return). (T1 / T2) = (r1 / r2), or (r1 / T1) = (r2 / T2) (local rate of reinforcement).

  15. Example: Conc VI 30”VI 120” Suppose in the first hour of exposure 1000 responses were emitted to each alternative: (VI 30”) r1 / R1 = (120 rfs / 1000 resps). Return = 0.120 (VI 120”) r2 / R2 = (30 rfs / 1000 resps). Return = 0.03 Ultimately behavior will shift toward the higher return. What will be the result? 120 / (1000 + x) = 30 / (1000 – x); x = 600. 120 / 1600 = 30 / 400 i.e., matching (80% responses on VI 30” alternative). Return = 0.075 rfs/resp on each alternative.

  16. Problem: Conc VR 30 VR 120 ALL responses will ultimately be made to the VR 30 alternative. This is consistent with matching, but same would be said if all the responses were made to the VR 120 alternative. But melioration can predict which alternative should receive all the responses: VR 30: r1/ R1 = 1/30; VR 120: r2/ R2 = 1/120. These cannot change, so shifting to the higher return means all the responses will go to VR 30 alternative.

  17. Operant Conditioning

  18. Operant Conditioning

  19. Operant Conditioning

  20. Operant Conditioning

  21. FUNCTIONAL PROPERTIES AND CURVE FITTING • What is the “real” delay function? Vt = V0 / (1 + Kt) Vt = V0/(1 + Kt)s Vt = V0/(M + Kts) Vt = V0/(M + ts) Vt = V0 exp(-Mt)

  22. Operant Conditioning

  23. Operant Conditioning

  24. Operant Conditioning

  25. Operant Conditioning

  26. Operant Conditioning

  27. Operant Conditioning

  28. Operant Conditioning

  29. Operant Conditioning

  30. Operant Conditioning

  31. Operant Conditioning

  32. Operant Conditioning

  33. Operant Conditioning

  34. Operant Conditioning

  35. Operant Conditioning

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