2007
DOI: 10.1007/s10441-007-9020-y
|View full text |Cite
|
Sign up to set email alerts
|

A Learning Strategy for Predator Preying on Edible and Inedible Prey

Abstract: In this paper I propose a reinforcement learning model for a predator preying upon two types of prey, the unpalatable (noxious) models, and the palatable mimics. The latter type of prey resembles the models in appearance so as to derive some protection from the predator who must avoid the unpalatable models. Essentially the predator is treated as a learning automaton adopting a simple reinforcement learning strategy in order to increase its consumption of palatable prey and reduce the consumption of unpalatabl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 22 publications
0
3
0
Order By: Relevance
“…Two types of sequence experiments were designed (each with a different set of 23 birds) to avoid any potential protection transfer effect, that is when an inedible firebug is presented as the first prey (Gamberale‐Stille & Sillén‐Tullberg ) or, on the contrary, any potential reinforcement effect, when an edible roach is presented as the first prey (Tsoularis ). In the first type of sequence experiment, each trial started with the presentation of a roach followed by the presentation of a firebug.…”
Section: Methodsmentioning
confidence: 99%
“…Two types of sequence experiments were designed (each with a different set of 23 birds) to avoid any potential protection transfer effect, that is when an inedible firebug is presented as the first prey (Gamberale‐Stille & Sillén‐Tullberg ) or, on the contrary, any potential reinforcement effect, when an edible roach is presented as the first prey (Tsoularis ). In the first type of sequence experiment, each trial started with the presentation of a roach followed by the presentation of a firebug.…”
Section: Methodsmentioning
confidence: 99%
“…(19) is satisfied. λ − and λ + are roots of (A6) and given by (21). (18), and consider the following one-dimensional discrete dynamics for x n ∈ R:…”
Section: Appendix 1 Dynamics Without Model Populationmentioning
confidence: 99%
“…Tsoularis and Wallace [24] and Tsoularis [21][22][23] considered a type of mathematical model with the predator's learning and forgetting and discussed its effect on the predation rate, making use of numerical calculations of the mathematical model, 'learning automaton' as it is called by themselves. They mainly discussed the predation efficiency from the viewpoint of its optimality as foraging strategy.…”
Section: Introductionmentioning
confidence: 99%