{"id":23589292,"url":"https://github.com/ewdlop/a-genuine-conundrum","last_synced_at":"2025-11-03T21:30:33.949Z","repository":{"id":269122247,"uuid":"906494883","full_name":"ewdlop/A-Genuine-Conundrum","owner":"ewdlop","description":"Mindtrap","archived":false,"fork":false,"pushed_at":"2025-01-01T23:19:48.000Z","size":34,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-01T23:23:22.139Z","etag":null,"topics":["trolley-problem"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ewdlop.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-21T04:12:54.000Z","updated_at":"2025-01-01T23:20:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"2bd37f35-6e5d-4c86-9c43-a039c1d19d3a","html_url":"https://github.com/ewdlop/A-Genuine-Conundrum","commit_stats":null,"previous_names":["ewdlop/a-genuine-conundrum"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ewdlop%2FA-Genuine-Conundrum","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ewdlop%2FA-Genuine-Conundrum/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ewdlop%2FA-Genuine-Conundrum/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ewdlop%2FA-Genuine-Conundrum/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ewdlop","download_url":"https://codeload.github.com/ewdlop/A-Genuine-Conundrum/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239419892,"owners_count":19635470,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["trolley-problem"],"created_at":"2024-12-27T06:13:40.421Z","updated_at":"2025-02-18T06:25:03.405Z","avatar_url":"https://github.com/ewdlop.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# A-Genuine-Conundrum\n\n\"We are enemies. Please dont save me\".\n\n# type trolley problem = mechnical scheme of mechanical engineer | mechanics of scheme lanauge| enviroment of Psychopy |  trolley in typescript\n\nThe \"trolley problem\" is typically a philosophical and ethical thought experiment, but let's explore how it can be analyzed or implemented in the following domains:\n\n1. **Mechanical Scheme of Mechanical Engineer**  \n   This involves designing a physical representation of the trolley problem, such as:  \n   - A physical track with movable trolleys.\n   - Mechanisms for switching tracks (e.g., levers, gears).\n   - Sensors to detect objects on the tracks and simulate decision-making.\n   - Actuators to move the trolley based on inputs.\n   - \n```plaintext\n                         START\n                           |\n                ------------------------\n               |                        |\n         Switch Track               Do Nothing\n               |                        |\n       ----------------          ----------------\n      |                |        |                |\n  Save group      2. **Mechanics of Scheme Language**  \n   Here, the problem could be modeled programmatically using a schema or algorithmic language to describe decisions:  \n   - Define \"tracks\" as graph nodes and \"switches\" as edges.\n   - Write rules to simulate decisions: If switch is toggled, follow one path or another.\n   - Use logic or probabilistic programming to simulate and resolve ethical choices.  \n\n   Example languages: UML, Prolog, or State Machines. 1  Save 1       Sacrifice group\n\n```\n\n\n3. **Environment of PsychoPy**  \n   PsychoPy, a tool for psychology experiments, can be used to simulate the trolley problem in a psychological context:  \n   - Create a visual representation of the problem using PsychoPy's graphical components.\n   - Implement decision points as user inputs (e.g., keyboard or mouse) to simulate the role of the observer making choices.\n   - Collect data on participant responses, such as reaction times and chosen outcomes, to analyze moral decision-making behavior.\n\nEach interpretation aligns with a different aspect of the trolley problem. Let me know if you'd like to dive deeper into implementing one of these!\n\n\nCreating a **\"You Cannot Eat Something\"** experiment in **PsychoPy** can simulate a behavioral or psychological study. This could involve showing participants an image of food and recording their responses when instructed **not** to eat it (a self-control scenario). Here's how to design such an experiment in **PsychoPy**:\n\n---\n\n### **Steps to Create the Experiment**\n\n1. **Design Overview**:\n   - **Objective**: Test participants' responses or reaction times when faced with tempting food images but told \"You cannot eat this.\"\n   - **Stimuli**: Use images of food (e.g., pizza, cake) and non-food items (e.g., a chair).\n   - **Task**: Show an image and ask participants to press a key if the item is \"edible but not allowed\" or \"non-edible.\"\n\n2. **Implementation**:\n   - Create an introduction screen explaining the task.\n   - Randomly present food and non-food images.\n   - Collect participant responses (e.g., keypresses) and reaction times.\n\n---\n\n### **PsychoPy Code Example**\n\n```python\nfrom psychopy import visual, core, event, data\nimport random\n\n# Set up the experiment window\nwin = visual.Window(size=[800, 600], color=\"white\")\n\n# Define stimuli\nfood_images = [\"pizza.jpg\", \"cake.jpg\"]  # Replace with actual file paths\nnon_food_images = [\"chair.jpg\", \"lamp.jpg\"]  # Replace with actual file paths\ninstructions = visual.TextStim(win, text=\"Press 'n' for non-edible items.\\nPress 'f' for edible items.\\nYou CANNOT eat the food!\\nPress any key to start.\")\nstimulus = visual.ImageStim(win)\nfeedback = visual.TextStim(win, pos=(0, -0.5), color=\"red\")\n\n# Display instructions\ninstructions.draw()\nwin.flip()\nevent.waitKeys()\n\n# Randomize stimuli\nstimuli = [{\"image\": img, \"type\": \"food\"} for img in food_images] + \\\n          [{\"image\": img, \"type\": \"non-food\"} for img in non_food_images]\nrandom.shuffle(stimuli)\n\n# Experiment trial loop\nresults = []\nfor trial in stimuli:\n    stimulus.image = trial[\"image\"]\n    stimulus.draw()\n    win.flip()\n\n    # Collect response\n    timer = core.Clock()\n    keys = event.waitKeys(keyList=[\"n\", \"f\", \"escape\"], timeStamped=timer)\n\n    # Exit if \"escape\" is pressed\n    if \"escape\" in [key[0] for key in keys]:\n        break\n\n    # Feedback and data recording\n    key, response_time = keys[0]\n    is_correct = (key == \"f\" and trial[\"type\"] == \"food\") or (key == \"n\" and trial[\"type\"] == \"non-food\")\n    results.append({\"stimulus\": trial[\"image\"], \"type\": trial[\"type\"], \"response\": key, \"rt\": response_time, \"correct\": is_correct})\n\n    feedback.text = \"Correct!\" if is_correct else \"Wrong!\"\n    feedback.color = \"green\" if is_correct else \"red\"\n    feedback.draw()\n    win.flip()\n    core.wait(1)\n\n# Save results\ndata_file = data.ExperimentHandler(dataFileName=\"results\")\nfor result in results:\n    data_file.addData(result[\"stimulus\"], result)\ndata_file.saveAsExcel(\"you_cannot_eat_results.xlsx\")\n\n# Close the experiment\nwin.close()\ncore.quit()\n```\n\n---\n\n### **Explanation of the Code**\n\n1. **Stimuli Setup**:\n   - Images of food and non-food items are prepared.\n   - Replace the placeholders (`pizza.jpg`, etc.) with your actual image file paths.\n\n2. **Instructions**:\n   - Participants are given clear directions on how to respond (e.g., \"Press 'n' for non-edible items\").\n\n3. **Trial Logic**:\n   - Stimuli are randomized to avoid order effects.\n   - Reaction times and responses are recorded for each trial.\n\n4. **Feedback**:\n   - Feedback is given after each trial (e.g., \"Correct!\" or \"Wrong!\").\n\n5. **Data Saving**:\n   - The results are saved to an Excel file for further analysis.\n\n---\n\n### **Extensions**\n\n1. **Add Temptation**:\n   - Include additional conditions where participants hear tempting audio cues like \"This is delicious!\"\n   - Add time pressure for responses.\n\n2. **Complex Responses**:\n   - Require participants to hold a key for \"food\" longer than \"non-food\" to simulate hesitation.\n\n3. **Multimodal Stimuli**:\n   - Pair food images with descriptive text (\"Chocolate Cake\") to test the influence of text on decision-making.\n\n---\n\n### **Applications**\n- **Behavioral Research**: Study self-control or temptation resistance.\n- **Cognitive Psychology**: Explore reaction times and accuracy in inhibition tasks.\n- **Consumer Research**: Test responses to desirable vs. undesirable items.\n\nLet me know if you'd like further customization or help with setting up this experiment!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fewdlop%2Fa-genuine-conundrum","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fewdlop%2Fa-genuine-conundrum","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fewdlop%2Fa-genuine-conundrum/lists"}