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: "<b>Computational and robotic modeling reveal parsimonious combinations of interactions between individuals in schooling fish</b>"with authors: Liu Lei, Ramón Escobedo, Clément Sire and Guy Theraulaz.<br>There are three zip files:1. <b>Fish.zip</b> contains a single file with the data of experiments with 5 fish (<i>H. rhodostomus</i>) in a tank of 25 cm of radius.2. <b>Agents.zip</b> 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. <b>Robots.zip</b> 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.<br>All dataset have the same structure of 5 columns containing the following information, in columns:<br>#1: Experiment_ID#2: fish/agent/robot identity<br>#3: time of kick of individual nº1<br>#4: x-coordinate of the individual with ID shown in column #2<br>#5: y-coordinate of the individual with ID shown in column #2<br>Time is in seconds, distances are in meters.<br>Data correspond to <i>segmented</i> 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.<br>The 11 conditions are specified in the name of each file:<b>Strategy 0:</b> no interaction between individuals (k = 0)<br><b>Strategy 1:</b> "NEAREST": interaction with the k = 1, 2, 3 nearest neighbors<br><b>Strategy 2:</b> "RANDOM": interaction with k = 1, 2, 3 neighbors selected randomly<br><b>Strategy 3:</b> "MOST INFLUENTIAL": interaction with the k = 1, 2, 3 most influential neighbors<b>Strategy 4:</b> interaction with all the neighbors (k=4)<br>For example, for the agents simulated with the model derived in [1], the 11 files are:<br>----------------------------------------<br>0.agent-no-interaction-k0.dat<br>1.agent-nearest-k1.dat<br>1.agent-nearest-k2.dat<br>1.agent-nearest-k3.dat<br>2.agent-random-k1.dat<br>2.agent-random-k2.dat<br>2.agent-random-k3.dat<br>3.agent-mostinfluential-k1.dat<br>3.agent-mostinfluential-k2.dat<br>3.agent-mostinfluential-k3.dat<br>4.agent-all-neighbors-k4.dat<br>----------------------------------------<br>[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.<br>