Commit b5627797 authored by Sergey.Budaev's avatar Sergey.Budaev
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doc: small changes

git-svn-id: https://tegsvn.uib.no/svn/tegsvn/tags/AHA_R/R1@6997 ad98353e-09f0-4531-9f56-ca5884d0cf98
parent c1159b28
# Reference model R1 #
## Overview of the simulation results ##
# Simulation Results for R1 #
### A brief outline of the model ##
This document provides a very brief description of simulation results. A
single short simulation was performed without replicates. These results
therefore can be used only for illustrative purposes.
## A brief outline of the model ##
The reference model **R1** implementing elementary self-awareness follows the
simple mesopelagic fish system developed by (Giske et al., 2013, 2014). Here
......@@ -43,7 +46,7 @@ stages of the evolution are much less complex, complexity is increasing as
the evolution proceeds. For example, the life cycle is initially very short
and increases with repeated generations.
#### R1 Model characteristics ####
### R1 Model characteristics ###
- **This is a very short and limited simulation over 100 generation. It is
used for simple illustrative purposes only.**
......@@ -56,6 +59,7 @@ and increases with repeated generations.
- Food items perform diel vertical migration in a pattern opposite to the
diel illumunation pattern.
![Fig. 1](http://ahamodel.uib.no/otherinfo/desc_r1/plot-r1-01.svg)
- The agents select all behaviours based on the minimum expected arousal
......@@ -68,9 +72,10 @@ and increases with repeated generations.
also changing according to
[ga_mutat_adaptive](http://ahamodel.uib.no/doxydoc/classthe__population.html#a3dd42184e1f4e3cad9ef2d887c2c0286)
function.
![Fig. 2](http://ahamodel.uib.no/otherinfo/desc_r1/plot-r1-02.svg)
### Basic results ###
## Basic results ##
The agents evolving over one hundred generations exhibit a steadily increasing
growth. The number of agents that wrew at the end of each generation showed
......@@ -80,7 +85,7 @@ to rise with further generations (after generation 80).
![Fig. 3](http://ahamodel.uib.no/otherinfo/desc_r1/plot-r1-03.svg)
#### Feeding and growth
### Feeding and growth
Due to the increasing optimization complexity caused by the lack of food
replenishment within a generation, body length and the feeding rate of the
......@@ -110,7 +115,7 @@ time steps at the last generation (100).
It is clear that the agents eat out most of the food already during the
first half of the life cycle.
#### Predator avoidance
### Predator avoidance
With each new generation, predation success (numbe of agents killed per time
step) reduced. Thus, the agents evolved more efficient predator avoidance
......@@ -120,7 +125,7 @@ fluctuation. This might have several different interpretations.
![Fig. 7](http://ahamodel.uib.no/otherinfo/desc_r1/plot-r1-07.svg)
#### Response to conspecifics
### Response to conspecifics
The agents evolved avoidance of conspecifics, presumably to reduce food
competition. Predator and conspecific perception had similar cyclic patterns
......@@ -129,7 +134,7 @@ that probably reflect changes of visibility and depth.
![Fig. 8](http://ahamodel.uib.no/otherinfo/desc_r1/plot-r1-08.svg)
### General conclusions ###
## General conclusions ##
- **The AHA model results in a realistic adaptive evolution of the agents over
the generations.**
......@@ -142,7 +147,7 @@ that probably reflect changes of visibility and depth.
efficient capture of food items, avoidance of predators and avoidance of
conspecifics (reducing food competition).**
### References ###
## References ##
- Aksnes, D. L., & Utne, A. C. W. (1997). A revised model of visual range in
fish. Sarsia, 82(2), 137–147. http://doi.org/10.1080/00364827.1997.10413647
......
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