A neural network model of foraging decisions made under predation risk

Cognitive, Affective and Behavioral Neuroscience

Volumn 5, Issue 4, 2005, Pages 434-451

  Coleman, Scott L ^a   Brown, Vincent R ^b   Levine, Daniel S ^c   Mellgren, Roger L ^c  

^a UNIVERSITY OF NORTH TEXAS HEALTH SCIENCE CENTER   (United States)

^b HOFSTRA UNIVERSITY   (United States)

^c UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFFECT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BEHAVIOR; COGNITION; COMPUTER MODEL; DECISION MAKING; DIPOLE; EMOTION; FITNESS; FOOD; FORAGING; FORAGING BEHAVIOR; HUNGER; MOTIVATION; PREDATION RISK; PSYCHOLOGICAL THEORY; ANIMAL; APPETITE; AVOIDANCE BEHAVIOR; AWARENESS; FEAR; LEARNING; PREDATION;

ANIMALS; APPETITIVE BEHAVIOR; AVOIDANCE LEARNING; AWARENESS; DECISION MAKING; FEAR; HUNGER; MOTIVATION; NEURAL NETWORKS (COMPUTER); PREDATORY BEHAVIOR; PROBABILITY LEARNING;

EID: 33646449098     PISSN: 15307026     EISSN: None     Source Type: Journal    
DOI: 10.3758/CABN.5.4.434     Document Type: Article

References (76)

1. ANDREW, R. J. (1974). Arousal and the causation of behaviour. Behaviour, 51, 135-164.
2. BELLMAN, R. (1957). Dynamic programming. Princeton, NJ: Princeton University Press.
3. BERRIDGE, K. C., & ROBINSON, T. E. (1998). What is the role of dopamine in reward: Hedonic impact, reward learning, or incentive salience? Brain Research Reviews, 28, 309-369.
4. BOUSKILA, A., & BLUMSTEIN, D. T. (1992). Rules of thumb for predation hazard assessment: Predictions from a dynamic model. American Naturalist, 139, 161-176.
5. BROWN, J. S. (1999). Vigilance, patch use, and habitat selection: Foraging under predation risk. Evolutionary Ecology Research, 1, 49-71.
6. BUCK, R. (1985). Prime theory: An integrated view of motivation and emotion. Psychological Review, 92, 389-413.
7. CABANAC, M. (1985). Influence of food and water deprivation on the behavior of the white rat foraging in a hostile environment. Physiology & Behavior, 35, 701-709.
8. CALDWELL, G. S. (1986). Predation as a selective force on foraging herons: Effects of plumage color and flocking. Auk, 103, 494-505.
9. CARACO, T., & LIMA, S. L. (1987). Survival, energy budgets, and foraging risk. In M. L. Commons, A. Kacelnik, & S. J. Shettleworth (Eds.), Foraging: Quantitative analyses of behaviour (Vol. 6, pp. 1-21). Hillsdale, NJ: Erlbaum.
10. CARACO, T., MARTINDALE, S., & WHITTAM, T. S. (1980). An empirical demonstration of risk-sensitive foraging preferences. Animal Behaviour, 28, 820-830.
11. COWLISHAW, G. (1997). Trade-offs between foraging and predation risk determine habitat use in a desert baboon population. Animal Behaviour, 53, 667-686.
12. DILL, L. M. (1987). Animal decision making and its ecological consequences: The future of aquatic ecology and behaviour. Canadian Journal of Zoology, 65, 65-71.
13. GETTYS, C. F., REID, P. J., & MELLGREN, R. L. (1988, November). Can we distinguish between optimal foraging decisions and rules of thumb? Paper presented at the annual meeting of the Psychonomic Society, Chicago.
14. GILLIAM, J. F., & FRASER, D. F. (1987). Habitat selection under predation hazard: Test of a model with foraging minnows. Ecology, 68, 1856-1862.
15. GOSS-CUSTARD, J. D. (1977). Optimal foraging and the size selection of worms by redshank, Tringa totanus, in the field. Animal Behaviour, 25, 10-29.
16. GRAY, S. A. (1977). Drug effects on fear and frustration: Possible limbic sites of action of minor tranquilizers. In L. L. Iverson, S. D. Iverson, & S. H. Snyder (Eds.), Handbook of psychopharmacology (Vol. 8, pp. 433-529). New York: Plenum.
17. GRAY, J. A. (1991). Neural systems, emotion and personality. In J. Madden IV (Ed.), Neurobiology of learning, emotion, and affect (pp. 273-306). New York: Raven.
18. GROSSBERG, S. (1972a). A neural theory of punishment and avoidance: I. Qualitative theory. Mathematical Biosciences, 15, 39-67.
19. GROSSBERG, S. (1972b). A neural theory of punishment and avoidance: II. Quantitative theory. Mathematical Biosciences, 15, 253-285.
20. GROSSBERG, S. (1982). Processing of expected and unexpected events during conditioning and attention: A psychophysiological theory. Psychological Review, 89, 529-572.
21. GROSSBERG, S., & GUTOWSKI, W. E. (1987). Neural dynamics of decision making under risk: Affective balance theory and cognitive-emotional interactions. Psychological Review, 94, 300-318.
22. GROSSBERG, S., & MERRILL, J. W. L. (1996). The hippocampus and cerebellum in adaptively timed learning, recognition, and movement. Journal of Cognitive Neuroscience, 8, 257-277.
23. HOUSTON, A. I., CLARK, C., MCNAMARA, J. M., & MANGEL, M. (1988). Dynamic models in behavioural and evolutionary ecology. Nature, 332, 29-34.
24. HOUSTON, A. I., & McNAMARA, J. [M.] (1982). A sequential approach to risk-taking. Animal Behaviour, 30, 1260-1261.
25. HOUSTON, A., & McNAMARA, J. M. (1985). The variability of behaviour and constrained optimization. Journal of Theoretical Biology, 112, 265-273.
26. HOUSTON, A. I., MCNAMARA, J. M., & HUTCHINSON, J. M. C. (1993). General results concerning the trade-off between gaining energy and avoiding predation. Philosophical Transactions of the Royal Society of London: Series B, 341, 375-397.
27. IWASA, Y., HIGASHI, M., & YAMAMURA, N. (1981). Prey distribution as a factor determining the choice of optimal foraging strategy. American Naturalist, 117, 710-723.
28. JANETOS, A., & COLE, B. (1981). Imperfectly optimal animals. Behavioral Ecology & Sociobiology, 9, 203-210.
29. KAVALIERS, M., & CHOLERIS, E. (2001). Antipredator responses and defensive behavior: Ecological and ethological approaches for the neurosciences. Neuroscience & Biobehavioral Reviews, 25, 577-586.
30. KILLEEN, P. R. (1982a). Incentive theory. In D. J. Bernstein (Ed.), Nebraska Symposium on Motivation: Response structure and organization (Vol. 9, pp. 169-216). Lincoln: University of Nebraska Press.
31. KILLEEN, P. R. (1982b). Incentive theory: II. Models for choice. Journal of the Experimental Analysis of Behavior, 38, 217-232.
32. KILLEEN, P. R. (1985). Incentive theory: IV. Magnitude of reward. Journal of the Experimental Analysis of Behavior, 43, 407-417.
33. KREBS, J. R. (1978). Optimal foraging: Decision rules for predators. In J. R. Krebs & N. B. Davies (Eds.), Behavioural ecology (pp. 23-62). Oxford: Blackwell.
34. LE MAGNEN, J. (1992). Neurobiology of feeding and nutrition. San Diego: Academic Press.
35. LEVEN, S. J., & LEVINE, D. S. (1996). Multiattribute decision making in context: A dynamic neural network methodology. Cognitive Science, 20, 271-299.
36. LEVINE, D. S. (2000). Introduction to neural and cognitive modeling (2nd ed.). Mahwah, NJ: Erlbaum.
37. LEVINE, D. S., & ELSBERRY, W. R. (Eos.) (1997). Optimality in biological and artificial networks? Mahwah, NJ: Erlbaum.
38. LEVINE, D. S., & PRUEITT, P. S. (1989). Modeling some effects of frontal lobe damage: Novelty and perseveration. Neural Networks, 2, 103-116.
39. LIMA, S. L., & DILL, L. M. (1990). Behavioural decisions made under the risk of predation: A review and prospectus. Canadian Journal of Zoology, 68, 619-640.
40. LIMA, S. L., VALONE, T. J., & CARACO, T. (1985). Foraging efficiency-predation risk trade-off in the grey squirrel. Animal Behaviour, 33, 155-165.
41. MANGEL, M. (1990). Evolutionary optimization and neural network models of behavior. Journal of Mathematical Biology, 28, 237-257.
42. MANGEL, M., & CLARK, C. (1988). Dynamic modeling behavior in ecology. Princeton, NJ: Princeton University Press.
43. MARSH, B., & KACELNIK, A. (2002). Framing effects and risky decisions in starlings. Proceedings of the National Academy of Sciences, 99, 3352-3355.
44. MCFARLAND, D. J. (1977). Decision making in animals. Nature, 269, 15-21.
45. McFARLAND, D. J. (1982). Introduction to functional analysis of behaviour. In D. J. McFarland (Ed.), Functional ontogeny (pp. 3-22). London: Pitman.
46. MCFARLAND, D. [J.], & HOUSTON, A. (1981). Quantitative ethology: The state-space approach. London: Pitman.
47. McNAMARA, J. M., & HOUSTON, A. (1986). The common currency for behavioral decisions. American Naturalist, 127, 358-378.
48. MILINSKI, M., & HELLER, R. (1978). Influence of a predator on the optimal foraging behaviour of sticklebacks (Gasterosteus aculeatus). Nature, 275, 642-644.
49. NIV, Y., JOEL, D., MEILIJSON, I., & RUPPIN, E. (2002a). Evolution of reinforcement learning in foraging bees: A simple explanation for risk-averse behavior. Neurocomputing, 44, 951-956.
50. NIV, Y., JOEL, D., MEILIJSON, I., & RUPPIN, E. (2002b). Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors. Adaptive Behavior, 10, 5-24.
51. OLSSON, O., BROWN, J. S., & SMITH, H. G. (2001). Gain curves in depletable food patches: A test of five models with European starlings. Evolutionary Ecology Research, 3, 285-310.
52. OLSSON, O., BROWN, J. S., & SMITH, H. G. (2002). Long- and short-term state-dependent foraging under predation risk: An indication of habitat quality. Animal Behaviour, 63, 981-989.
53. PANKSEPP, J. (1982). Toward a general psychobiological theory of emotions. Behavioral & Brain Sciences, 5, 407-467.
54. RAJALA, A. K., & HANTULA, D. A. (2000). Towards a behavioral ecology of consumption: Delay-reduction effects on foraging in a simulated Internet mall. Managerial & Decision Economics, 21, 145-158.
55. REAL, L. A. (1992). Information processing and the evolutionary ecology of cognitive architecture. American Naturalist, 140(Suppl.), S108-S145.
56. REBOREDA, J. C., & KACELNIK, A. (1991). Risk sensitivity in starlings: Variability in food amount and food delay. Behavioral Ecology, 2, 301-308.
57. ROZIN, P., & SCHULKIN, J. (1990). Food selection. In E. M. Stricker (Ed.), Handbook of behavioral neurobiology: Neurobiology of food and fluid intake (Vol. 10, pp. 297-328). New York: Plenum.
58. RUMELHART, D. E., HINTON, G. E., & WILLIAMS, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition: Volume I. Foundations (pp. 318-362). Cambridge, MA: MIT Press.
59. SCHOENER, T. W. (1971). Theory of feeding strategy. Annual Review of Ecological Systems, 2, 369-404.
60. SHAFIR, S. (2000). Risk-sensitive foraging: The effect of relative variability. Oikos, 88, 663-669.
61. SHEVELKIN, A. V. (1994). Facilitation of defense reactions during the consumption of food in snails: The participation of glucose and gastrin/cholecystokinin-like peptide. Neuroscience & Behavioral Physiology, 24, 115-124.
62. SIBLY, R., & MCFARLAND, D. J. (1974). A state-space approach to motivation. In D. J. McFarland (Ed.), Motivational control systems analysis (pp. 213-250). London: Academic Press.
63. SIBLY, R., & MCFARLAND, D. J. (1976). On the fitness of behavioral sequences. American Naturalist, 10, 601-617.
64. SMITH, C. L., & HANTULA, D. A. (2003). Pricing effects on foraging in a simulated Internet shopping mall. Journal of Economic Psychology, 24, 653-674.
65. SNYDERMAN, M. (1983). Optimal prey selection: The effects of food deprivation. Behavior Analysis Letters, 3, 359-369.
66. SOLOMON, R. L., & CORBIT, J. (1974). An opponent-process theory of motivation: 1. Temporal dynamics of affect. Psychological Review, 81, 119-145.
67. STEPHENS, D. W., & CHARNOV, E. L. (1982). Optimal foraging: Some simple stochastic models. Behavioral Ecology & Sociobiology, 10, 251-263.
68. STEPHENS, D. W., & KREBS, J. R. (1986). Foraging theory. Princeton, NJ: Princeton University Press.
69. SUTTON, R. S., & BARTO, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press.
70. TOWNSEND, J. T., & BUSEMEYER, J. R. (1989). Approach-avoidance: Return to dynamical decision behaviour. In C. Izawa (Ed.), Current issues in cognitive processes (pp. 107-133). Hillsdale, NJ: Erlbaum.
71. TVERSKY, A., & KAHNEMAN, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131.
72. TVERSKY, A., & KAHNEMAN, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453-458.
73. WEBER, E. U., SHAFIR, S., & BLAIS, A.-R. (2004). Predicting risk sensitivity in humans and lower animals: Risk as variance or coefficient of variation. Psychological Review, 111, 430-445.
74. WELTON, N. J., MCNAMARA, J. M., & HOUSTON, A. I. (2003). Assessing predation risk: Optimal behaviour and rules of thumb. Theoretical Population Biology, 64, 417-430.
75. WERNER, E., & HALL, D. (1974). Optimal foraging and the size selection of prey by the bluegill sunfish (Lepomis macrochirus). Ecology, 55, 393-425.
76. ZUCKERMAN, M. (1990). The psychophysiology of sensation seeking. Journal of Personality, 58, 313-345.