{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:DLOMD6ABA5OQM56N3HOXSYWSY7","short_pith_number":"pith:DLOMD6AB","schema_version":"1.0","canonical_sha256":"1adcc1f801075d0677cdd9dd7962d2c7ca40672dac334805a93540b7333adbc1","source":{"kind":"arxiv","id":"2006.04072","version":1},"attestation_state":"computed","paper":{"title":"Implications of Human Irrationality for Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO","stat.ML"],"primary_cat":"cs.LG","authors_text":"Andrew Howes, Haiyang Chen, Hyung Jin Chang","submitted_at":"2020-06-07T07:44:53Z","abstract_excerpt":"Recent work in the behavioural sciences has begun to overturn the long-held belief that human decision making is irrational, suboptimal and subject to biases. This turn to the rational suggests that human decision making may be a better source of ideas for constraining how machine learning problems are defined than would otherwise be the case. One promising idea concerns human decision making that is dependent on apparently irrelevant aspects of the choice context. Previous work has shown that by taking into account choice context and making relational observations, people can maximize expecte"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2006.04072","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-07T07:44:53Z","cross_cats_sorted":["cs.AI","cs.RO","stat.ML"],"title_canon_sha256":"5872ff41fee6f1347ead4088fb7331e5f6dbf7f6e4fc7de5bb2436d8f124d8da","abstract_canon_sha256":"17fc8c701d6311418ae2fee29cdb26cec344f12d16752540100376742576f355"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:08:35.734833Z","signature_b64":"pHiitMdR7simiaDngFtoBKb5pZEhMJ+dFgrtD/SzdYTHua6H35gkhvEEyM0BPLePvdQbGl/JeFkSAkMF509QCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1adcc1f801075d0677cdd9dd7962d2c7ca40672dac334805a93540b7333adbc1","last_reissued_at":"2026-07-05T01:08:35.734285Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:08:35.734285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Implications of Human Irrationality for Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO","stat.ML"],"primary_cat":"cs.LG","authors_text":"Andrew Howes, Haiyang Chen, Hyung Jin Chang","submitted_at":"2020-06-07T07:44:53Z","abstract_excerpt":"Recent work in the behavioural sciences has begun to overturn the long-held belief that human decision making is irrational, suboptimal and subject to biases. This turn to the rational suggests that human decision making may be a better source of ideas for constraining how machine learning problems are defined than would otherwise be the case. One promising idea concerns human decision making that is dependent on apparently irrelevant aspects of the choice context. Previous work has shown that by taking into account choice context and making relational observations, people can maximize expecte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04072","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.04072/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2006.04072","created_at":"2026-07-05T01:08:35.734355+00:00"},{"alias_kind":"arxiv_version","alias_value":"2006.04072v1","created_at":"2026-07-05T01:08:35.734355+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04072","created_at":"2026-07-05T01:08:35.734355+00:00"},{"alias_kind":"pith_short_12","alias_value":"DLOMD6ABA5OQ","created_at":"2026-07-05T01:08:35.734355+00:00"},{"alias_kind":"pith_short_16","alias_value":"DLOMD6ABA5OQM56N","created_at":"2026-07-05T01:08:35.734355+00:00"},{"alias_kind":"pith_short_8","alias_value":"DLOMD6AB","created_at":"2026-07-05T01:08:35.734355+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7","json":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7.json","graph_json":"https://pith.science/api/pith-number/DLOMD6ABA5OQM56N3HOXSYWSY7/graph.json","events_json":"https://pith.science/api/pith-number/DLOMD6ABA5OQM56N3HOXSYWSY7/events.json","paper":"https://pith.science/paper/DLOMD6AB"},"agent_actions":{"view_html":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7","download_json":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7.json","view_paper":"https://pith.science/paper/DLOMD6AB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2006.04072&json=true","fetch_graph":"https://pith.science/api/pith-number/DLOMD6ABA5OQM56N3HOXSYWSY7/graph.json","fetch_events":"https://pith.science/api/pith-number/DLOMD6ABA5OQM56N3HOXSYWSY7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7/action/storage_attestation","attest_author":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7/action/author_attestation","sign_citation":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7/action/citation_signature","submit_replication":"https://pith.science/pith/DLOMD6ABA5OQM56N3HOXSYWSY7/action/replication_record"}},"created_at":"2026-07-05T01:08:35.734355+00:00","updated_at":"2026-07-05T01:08:35.734355+00:00"}