Beispiel #1
0
        //Misc
        public static Population OverLearn(SimParams par, Population pop,
                                           int[] vacant, List <int> notVacant)
        {
            //Get learners and tutors
            List <int> Learners = vacant.ToList();

            List <int>[] Tutors    = ChooseMultipleTutors(par, pop, Learners, notVacant, par.NumTutorOverLearn);
            List <int>[] TutorSyls = new List <int> [Learners.Count];

            //Create combined song with all sylls
            List <int>[] AllSongs;
            List <int>   CollapsedSongs;

            for (int i = 0; i < Learners.Count; i++)
            {
                AllSongs       = ListeningTest(par, pop, Tutors[i].ToArray(), par.ListeningThreshold);
                CollapsedSongs = AllSongs.SelectMany(x => x).ToList();
                TutorSyls[i]   = CollapsedSongs.Distinct().ToList();
            }

            //Add Syls and update song traits
            AddSyllables(par, pop, Learners, TutorSyls);
            UpdateSongTraits(par, pop, Learners);
            return(pop);
        }
Beispiel #2
0
        //Learning Accessory functions
        private static ConsensusResults ConsensusLearning(SimParams par, Population pop,
                                                          List <int>[] tutors, List <int> learners)
        {
            //Create a consensus based on songs from several males
            List <int>[] ConsensusSongs = new List <int> [learners.Count];
            List <int>[] AddSyls        = new List <int> [learners.Count];
            List <int>[] AllSongs;
            List <int>   CollapsedSongs;
            float        Conform;

            for (int i = 0; i < learners.Count; i++)
            {
                ConsensusSongs[i] = new List <int> {
                };
                AddSyls[i]        = new List <int> {
                };
                AllSongs          = ListeningTest(par, pop, tutors[i].ToArray(), par.ListeningThreshold);
                CollapsedSongs    = AllSongs.SelectMany(x => x).ToList();
                ConsensusSongs[i] = CollapsedSongs.Distinct().ToList();
                for (int j = 0; j < ConsensusSongs[i].Count(); j++)
                {
                    Conform = ConsensusCalc(par, ConsensusSongs[i][j], CollapsedSongs);
                    if (par.NextFloat() < Conform)
                    {
                        AddSyls[i].Add(ConsensusSongs[i][j]);
                    }
                }
            }
            ConsensusResults Returnable = new ConsensusResults(AddSyls, ConsensusSongs);

            return(Returnable);
        }