{"id":17259856,"url":"https://github.com/ztangent/openendedblockwords.jl","last_synced_at":"2025-07-23T22:32:35.424Z","repository":{"id":251768443,"uuid":"838385703","full_name":"ztangent/OpenEndedBlockWords.jl","owner":"ztangent","description":"Open-ended Bayesian goal inference in the Block Words domain.","archived":false,"fork":false,"pushed_at":"2024-08-05T14:38:54.000Z","size":7251,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-31T10:43:20.716Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Julia","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/ztangent.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":"2024-08-05T14:31:49.000Z","updated_at":"2024-08-08T02:04:54.000Z","dependencies_parsed_at":"2024-08-05T17:15:05.714Z","dependency_job_id":null,"html_url":"https://github.com/ztangent/OpenEndedBlockWords.jl","commit_stats":null,"previous_names":["ztangent/openendedblockwords.jl"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ztangent%2FOpenEndedBlockWords.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ztangent%2FOpenEndedBlockWords.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ztangent%2FOpenEndedBlockWords.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ztangent%2FOpenEndedBlockWords.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ztangent","download_url":"https://codeload.github.com/ztangent/OpenEndedBlockWords.jl/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245624593,"owners_count":20645976,"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":[],"created_at":"2024-10-15T07:46:22.546Z","updated_at":"2025-03-26T09:26:09.360Z","avatar_url":"https://github.com/ztangent.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Open-Ended Block Words\n\nAn implementation of open-ended goal inference via open-ended Sequential Inverse Plan Search (SIPS) in the Block Words domain.\n\n![Illustration of open-ended SIPS in the Block Words domain.](assets/example.png)\n\nFor more details about open-ended SIPS, see [our paper](https://arxiv.org/abs/2407.16770):\n\n\u003e Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, and Joshua B. Tenenbaum, 2024. **Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals** In Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024).\n\nModel outputs, human data, and figures can be found in the following OSF repository: https://osf.io/bygwm/\n\n## Setup\n\nTo set up the environment for this project, make sure this directory is set as the active environment. Then run the following commands in via `Pkg` mode in the Julia REPL:\n\n```julia-repl\nadd https://github.com/probcomp/InversePlanning.jl.git\ninstantiate\n```\n\n## Project Structure\n\nThe files in this directory are organized as follows:\n\n- The `dataset` directory contains all plans, problems, and stimuli.\n- The `src` directory contains non-top-level source files.\n- The `assets` directory contains word and word frequency lists.\n- The `interface` directory contains the web interface for our experiment.\n- `run_inference.jl` runs the inference algorithms and saves their outputs.\n- `run_analysis.jl` analyzes model outputs in comparison with human data.\n- `testbed.jl` is for experimenting with modeling and inference parameters\n- `stimuli.jl` generates stimuli animations and metadata\n\nThe word list corresponds to the `3of6game` list from the [12Dicts](http://wordlist.aspell.net/12dicts/) package. Word frequencies for each word are derived from the Zipf frequency returned by the [wordfreq](https://github.com/rspeer/wordfreq) Python package. The Block Words domain was first introduced in [Ramizez \u0026 Geffner (IJCAI 2009)](https://www.ijcai.org/Proceedings/09/Papers/296.pdf) as a variant of the classic Blocksworld.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fztangent%2Fopenendedblockwords.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fztangent%2Fopenendedblockwords.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fztangent%2Fopenendedblockwords.jl/lists"}