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Khemlani"},"license":"ISC","repository":{"type":"git","url":"https://www.modeltheory.org/repository/Software/nodus-ponens/"},"description":"A light, full-stack framework for running high-level reasoning and cognitive science experiments in Node.js.","maintainers":[{"name":"skhemlani","email":"skhemlani@gmail.com"}],"readme":"# nodus-ponens\n\nA light, full-stack framework for running high-level reasoning and cognitive science experiments in Node.js.\n\n## Bug fixes and updates\n\n**2024-07-29**\n* Added progress bar display by default\n* Added ParticipantID processing in terminateDebrief.html \n* Added new CSS functionality to import font weights and add fixed-width font \"Source Code Pro\"\n\n**2023-11-03**\n* Updated jQuery to latest version (3.7.1)\n* Updated jQuery UI to latest version (1.13.2)\n* Added middleware for accepting, logging, and returning data from third-party services (e.g., Qualtrics)\n\n\n## Preliminary Setup\n\n```bash\n$ sudo npm install -g shelljs       # nodus-ponens requires global installation of \"shelljs\"\n```\n\n## Quick Start Guide\nnodus-ponens is a full-stack framework for running high-level cognitive science experiments. It comes bundled with a fully-functional experiment template. To set the experiment up, run as follows:\n\n```bash\n$ mkdir temp\n$ cd temp\n$ npm install nodus-ponens\n$ npm explore nodus-ponens -- npm run-script create-template\n$ node main.js\n```\n\nThe framework will launch a server-side monitoring console (in the terminal), and the experiment can then be viewed at `http://localhost:55151`. The default link to launch the study via a third-party service (e.g., Amazom Mechanical Turk) is: `http://localhost:55151/launch`. The link to launch the study via Qualtrics (which sends over specific information for logging and record-keeping), the link is: `http://localhost:55151/qualtricsLaunch`.\n\n\n## Usage\n\n```js\nvar path             = require(\"path\");\nvar fs               = require('fs');\nvar staticDirectory  = path.resolve(\"static\");              // Set directory of static HTML+CSS files\nvar dataDirectory    = path.resolve(\"data\");              // Set directory where data will be written\nvar participantIndex = 0;                            // Start participant numbering at this value + 1\n\nvar np               = require(\"nodus-ponens\")(participantIndex, staticDirectory, dataDirectory);\nnp.authors           = \"Authors\";\nnp.experimentName    = \"Template1\";\nnp.port              = 55151;\n\n// Note: The user has to define the function np.loadStimuli() that is intended to take a\n// participant's ID number (an integer) as input and return an array of objects representing the\n// stimuli catered to that participant. The function allows users to define stimuli directly, read\n// stimuli from an external file, or pull stimuli from other resources. In the template file included\n// with the experiment (see Quick Start Guide above), the function \"setupStimuli\" serves this purpose\n// by importing experimental stimuli from a CSV file. Supposing that the user successfully defines\n// this function, the nodus-ponens setup proceeds as follows:\n\nfunction setupStimuli(PID)          // Takes integer input and returns stimuli as set of JSON objects\n{\n   /* Write appropriate stimuli generation code here ... */\n   return stimuli;             // To randomize the order of the stimuli, return np.randomize(stimuli)\n}\n\nnp.loadStimuli = setupStimuli;\nnp.launchStudy();\n```\n\n## License\n\n(c) 2023 Sangeet Khemlani, http://www.khemlani.net/, Creative Commons License.","readmeFilename":"README.md"}