Gitlab CSE Unil

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{
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    "help": "Help",
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    "help_msg": "For more info, see",
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    "btn_reset": "Reset",
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    "btn_valid": "Validate",
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    "orange_wrong": "Orange: wrong guess",
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    "blue_right": "Blue: good guess",
    "perc_correct": "Percentage of correct answers",
    "tot_right": "Total number of good guesses",
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    "10_res": "About the last 10 results",
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    "graph_perc_success": "Percentage of success, %",
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    "step1": "Step 1: test your own random sequence",
    "step2": "Step 2: test the computer",
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    "step3": "Step 3: understand",
    "step4": "Game",

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    "step1_info": "Write down a random sequence of 100 binary digits (0 and 1). Then copy this sequence into the box below. The computer will record the first ten bits and use them to predict the next ones. Correct guesses will be highlighted in blue, wrong ones in orange.",
    "step1_instru": "Insert your own random sequence and validate",
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    "step2_info": "Randomly choose ten binary digits to initialize the computer process. The computer will show you its next predicted bit ; you should then accept or reject it. You can test the algorithm and see how it evolves depending on your answers and on the initial sequence. A certain number of initial sequences are proposed to you in the margin.",
    "step2_instru": "Insert 10 binary digits in order to initialize the process, then evaluate the bit proposed by the computer",
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    "step2_next_ans": "Next answer",
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    "step2_proposed_value": "Proposed next bit",
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    "step3_titleA": "Parameters",
    "step3_titleB": "Algorithm",
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    "step3_A_info1": "Insert a sequence or copy one from those proposed. You can act on the attenuation coefficient which is applied to the former entries in order to give more weight to the more recent ones. The mask size allows you to decide how many binary digits will be used by the computer to construct its prediction algorithm.",
    "step3_A_info2": "The attenuation coefficient makes sense when considering the possible influences on the brain. It seems reasonable that choices are influenced by the nearest timewise decisions and that these should weigh more than older choices.",
    "step3_A_info3": "The mask size allows the computer to look for optimal rules within a certain amount of binary digits. You can modify it to see its influence on the computer’s predictions.",
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    "step3_A_parameters": "Parameters",
    "step3_A_coef_att": "Coefficient of attenuation",
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    "step3_A_mask_size": "Mask size",
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    "step3_B_info": "Input a sequence of 0 and 1. You will see which arrangements are considered by the computer to predict the following binary digit as well as the graphic representation of the computer successes.",
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    "step3_B_model": "Model",
    "step3_B_best_patterns": "Best patterns",
    "step3_B_efficiency": "Efficiency",
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    "step3_B_next_value": "Next binary value",
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    "game_info": "Here is a game: Machine vs. You! Will you be able to deceive it? Or are you too predictable?",
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    "game_config": "Game configuration",
    "game_play_against": "Play against",
    "game_play_against_computeur": "the computer",
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    "game_play_against_other_player": "another player",
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    "game_play_against_other_player_name": "Name",
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    "game_play_ok": "Let's go!",
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    "game_restart": "Restart game",
    "game_computeur": "Computer",

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    "fin": "fin"
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}