Experimental, computational and robotic data from: "Computational and robotic modeling reveal parsimonious combinations of interactions between individuals in schooling fish"

Experimental, computational and robotic data from: "Computational and robotic modeling reveal parsimonious combinations of interactions between individuals in schooling fish"with authors: Liu Lei, Ramón Escobedo, Clément Sire and Guy Theraulaz.
There are three zip files:1. Fish.zip contains a single file with the data of experiments with 5 fish (H. rhodostomus) in a tank of 25 cm of radius.2. Agents.zip contains 11 files with the data of 5 agents in an arena of radius 25 cm, for the respective interaction strategies described in the article.3. Robots.zip contains 10 files with the data of 5 robots (cuboids) in an arena of radius 42 cm,
for the respective interaction strategies described in the article except one.
All dataset have the same structure of 5 columns containing the following information, in columns:
#1: Experiment_ID#2: fish/agent/robot identity
#3: time of kick of individual nº1
#4: x-coordinate of the individual with ID shown in column #2
#5: y-coordinate of the individual with ID shown in column #2
Time is in seconds, distances are in meters.
Data correspond to segmented trajectories, where instants of time denote the kicking time of individual #1. Data of individuals from #2 to #5 correspond to the position of the individual at the kicking instant of individual #1.
The 11 conditions are specified in the name of each file:Strategy 0: no interaction between individuals (k = 0)
Strategy 1: "NEAREST": interaction with the k = 1, 2, 3 nearest neighbors
Strategy 2: "RANDOM": interaction with k = 1, 2, 3 neighbors selected randomly
Strategy 3: "MOST INFLUENTIAL": interaction with the k = 1, 2, 3 most influential neighborsStrategy 4: interaction with all the neighbors (k=4)
For example, for the agents simulated with the model derived in [1], the 11 files are:
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0.agent-no-interaction-k0.dat
1.agent-nearest-k1.dat
1.agent-nearest-k2.dat
1.agent-nearest-k3.dat
2.agent-random-k1.dat
2.agent-random-k2.dat
2.agent-random-k3.dat
3.agent-mostinfluential-k1.dat
3.agent-mostinfluential-k2.dat
3.agent-mostinfluential-k3.dat
4.agent-all-neighbors-k4.dat
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[1] D.S. Calovi, A. Litchinko, V. Lecheval, U. Lopez, A. Pérez Escudero, H. Chaté, C. Sire, G. Theraulaz (2018) Disentangling and modeling interactions in fish with burst-and-coast swimming reveal distinct alignment and attraction behaviors. PLoS Comput. Biol. 14(1):e1005933.