A learning strategy for predator preying on edible and inedible prey

Acta Biotheoretica

Volumn 55, Issue 3, 2007, Pages 283-295

  Tsoularis, A ^a  

^a MASSEY UNIVERSITY   (New Zealand)

Author keywords

Aposematism; Batesian mimicry; Benefit function; Learning automaton; Reinforcement learning

Indexed keywords

APOSEMATISM; AUTOMATION; LEARNING; PREDATOR-PREY INTERACTION;

ADAPTATION; ANIMAL; ARTICLE; BIOLOGICAL MODEL; GENETIC SELECTION; LEARNING; PREDATION; REINFORCEMENT; STATISTICS; THEORETICAL MODEL;

ADAPTATION, PHYSIOLOGICAL; ANIMALS; MODELS, BIOLOGICAL; MODELS, THEORETICAL; PREDATORY BEHAVIOR; PROBABILITY LEARNING; REINFORCEMENT (PSYCHOLOGY); SELECTION (GENETICS); STOCHASTIC PROCESSES;

EID: 36749086945     PISSN: 00015342     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10441-007-9020-y     Document Type: Article

References (24)

1. Arnold SJ (1978) The evolution of a special class of modifiable behaviors in relation to environmental pattern. Am Natural 112(984):415-427
2. Bobisud LE, Potratz CJ (1976) One-trial versus multi-trial learning for a predator encountering a model-mimic system. Am Natural 110(971):121-128
3. Bush RR, Mosteller F (1955) Stochastic models for learning. J. Wiley & Sons
4. Estabrook GF, Jespersen DC (1974) Strategy for a predator encountering a model-mimic system. Am Natural 108(962):443-457
5. Gamberale-Stille G, Guilford T (2004) Automimicry destabilizes aposematism: a predator sample-and-reject behaviour may provide a solution. Proc Roy Soc Lond B 271:2621-2625
6. Guilford T (1994) "Go-slow" signalling and the problem of automimicry. J Theor Biol 170:311-316
7. Huheey JE (1964) Studies of warning coloration and mimicry. IV. A mathematical model of model-mimic frequencies. Ecology 45(1):185-188
8. Kannan D (1983) A Markov chain analysis of predator strategy in a model-mimic system. Bull Math Biol 45(3):347-400
9. Luedeman JK, McMorris FR, Warner DD (1981) Predator encountering a model-mimic system with alternative prey. Am Natural 117:1041-1048
10. Narendra K, Thathachar MAL (1989) Learning automata: an introduction. Prentice Hall
11. Owen RE, Owen ARG (1984) Mathematical paradigms for mimicry: recurrent sampling. J Theor Biol 109:217-247
12. Ruxton GD, Speed MP (2006) How can automimicry persist when predators can preferentially consume undefended mimics. Proc Roy Soc Lond B 273:373-378
13. Ruxton GD, Sherratt TN, Speed MP (2004a) Avoiding attack: the evolutionary ecology of crypsis, warning signals and mimicry. Oxford University Press
14. Ruxton GD, Speed MP, Sherratt TN (2004b) Evasive mimicry: when (if ever) could mimicry based on difficulty of capture evolve. Proc Roy Soc Lond B 271:2135-2142
15. Servedio MR (2000) The effects of predator learning, forgetting, and recognition errors on the evolution of warning coloration. Evolution 54(3):751-763
16. Sherratt TN (2002) The cooevolution of warning signals. Proc Roy Soc Lond B 269:741-746
17. Speed MP (1999) Robot predators in virtual ecologies: the importance of memory in mimicry studies. Anim Behav 57:203-213
18. Speed MP (2000) Warning signals, receiver psychology and predator memory. Anim Behav 60:269-278
19. Speed MP, Turner JRG (1999) Learning and memory in mimicry: II. Do we understand the mimicry spectrum? Biol J Linn Soc 67:281-312
20. Tsoularis A (2006) Learning strategies for a predator operating in model-mimic-alternative prey environment. WSEAS Trans Biol Med 3(3):244-248
21. Tsoularis A, Wallace J (2005) Reinforcement learning for a stochastic automaton modelling predation in stationary model-mimic environments. Math Biosci 195(1):76-91
22. Turner JRG, Speed MP (1996) Learning and memory in mimicry. I. Simulations of laboratory experiments. Phil Trans R Soc Lond B 351:1157-1170
23. Turner JRG, Kearney EP, Exton LS (1984) Mimicry and the Monte Carlo predator: the palatability spectrum and the origins of mimicry. Biol J Linn Soc 23:247-268
24. Yamauchi A (1993) A population dynamic model of Batesian mimicry. Res Popul Ecol 35:295-315