observe_strategies.py

# Copyright (c) 2012 Stellenbosch University, 2012
# This source code is released under the Academic Free License 3.0
# See https://github.com/gvrooyen/SocialLearning/blob/master/LICENSE for the full text of the license.
# Author: G-J van Rooyen <gvrooyen@sun.ac.za>

"""
Definition of the various observe_who() strategies for agents.
"""

# This function MUST return the given list of tuples, exploiterData, sorted by preference for copying.
# Data given for each agent are (index in this list,age,total accrued payoff,number of times copied,number of offpsring)
# All values except index have error applied.

# AGE = 1
# TOTAL_PAY = 2
# TIMES_COPIED = 3
# N_OFFSPRING = 4

strategy = [
"    return sorted(exploiterData,key=lambda x:x[AGE],reverse=True)\n",
"    return sorted(exploiterData,key=lambda x:x[TOTAL_PAY],reverse=True)\n",
"    return sorted(exploiterData,key=lambda x:x[TIMES_COPIED],reverse=True)\n",
"    return sorted(exploiterData,key=lambda x:x[N_OFFSPRING],reverse=True)\n",
"    random.shuffle(exploiterData)\n    return exploiterData\n"
]