{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2002:53ZWABGQTJKF4LXFCRF4O3F73D","short_pith_number":"pith:53ZWABGQ","schema_version":"1.0","canonical_sha256":"eef36004d09a545e2ee5144bc76cbfd8cf0fd8f0d3c0e1ffae90bf147c57c71b","source":{"kind":"arxiv","id":"cs/0207008","version":1},"attestation_state":"computed","paper":{"title":"Agent Programming with Declarative Goals","license":"","headline":"","cross_cats":["cs.PL"],"primary_cat":"cs.AI","authors_text":"F.S. de Boer, J.-J.Ch. Meyer, K.V. Hindriks, W. van der Hoek","submitted_at":"2002-07-03T15:42:55Z","abstract_excerpt":"A long and lasting problem in agent research has been to close the gap between agent logics and agent programming frameworks. The main reason for this problem of establishing a link between agent logics and agent programming frameworks is identified and explained by the fact that agent programming frameworks have not incorporated the concept of a `declarative goal'. Instead, such frameworks have focused mainly on plans or `goals-to-do' instead of the end goals to be realised which are also called `goals-to-be'. In this paper, a new programming language called GOAL is introduced which incorpora"},"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":"cs/0207008","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.AI","submitted_at":"2002-07-03T15:42:55Z","cross_cats_sorted":["cs.PL"],"title_canon_sha256":"51510dc2980a3be7d97c93f612bb84af63cbbda46155e09d33e80c96d3d8fa26","abstract_canon_sha256":"f8d6f12758b75ccbdad82fffefaa656622e4ff9f4206dbaaf00d7e93891c823a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T14:24:18.977687Z","signature_b64":"vyEXzIi0DgYhxcg5gsG0mvY1MuN3R27QQeazjuOPTpAkIU6GXXP1ZYVU2HkyGURFOjFUKo8XAsRUY5GTJ48DCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eef36004d09a545e2ee5144bc76cbfd8cf0fd8f0d3c0e1ffae90bf147c57c71b","last_reissued_at":"2026-07-04T14:24:18.977310Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T14:24:18.977310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agent Programming with Declarative Goals","license":"","headline":"","cross_cats":["cs.PL"],"primary_cat":"cs.AI","authors_text":"F.S. de Boer, J.-J.Ch. Meyer, K.V. Hindriks, W. van der Hoek","submitted_at":"2002-07-03T15:42:55Z","abstract_excerpt":"A long and lasting problem in agent research has been to close the gap between agent logics and agent programming frameworks. The main reason for this problem of establishing a link between agent logics and agent programming frameworks is identified and explained by the fact that agent programming frameworks have not incorporated the concept of a `declarative goal'. Instead, such frameworks have focused mainly on plans or `goals-to-do' instead of the end goals to be realised which are also called `goals-to-be'. In this paper, a new programming language called GOAL is introduced which incorpora"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0207008","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/cs/0207008/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":"cs/0207008","created_at":"2026-07-04T14:24:18.977374+00:00"},{"alias_kind":"arxiv_version","alias_value":"cs/0207008v1","created_at":"2026-07-04T14:24:18.977374+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0207008","created_at":"2026-07-04T14:24:18.977374+00:00"},{"alias_kind":"pith_short_12","alias_value":"53ZWABGQTJKF","created_at":"2026-07-04T14:24:18.977374+00:00"},{"alias_kind":"pith_short_16","alias_value":"53ZWABGQTJKF4LXF","created_at":"2026-07-04T14:24:18.977374+00:00"},{"alias_kind":"pith_short_8","alias_value":"53ZWABGQ","created_at":"2026-07-04T14:24:18.977374+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.14528","citing_title":"Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agents","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D","json":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D.json","graph_json":"https://pith.science/api/pith-number/53ZWABGQTJKF4LXFCRF4O3F73D/graph.json","events_json":"https://pith.science/api/pith-number/53ZWABGQTJKF4LXFCRF4O3F73D/events.json","paper":"https://pith.science/paper/53ZWABGQ"},"agent_actions":{"view_html":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D","download_json":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D.json","view_paper":"https://pith.science/paper/53ZWABGQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=cs/0207008&json=true","fetch_graph":"https://pith.science/api/pith-number/53ZWABGQTJKF4LXFCRF4O3F73D/graph.json","fetch_events":"https://pith.science/api/pith-number/53ZWABGQTJKF4LXFCRF4O3F73D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D/action/storage_attestation","attest_author":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D/action/author_attestation","sign_citation":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D/action/citation_signature","submit_replication":"https://pith.science/pith/53ZWABGQTJKF4LXFCRF4O3F73D/action/replication_record"}},"created_at":"2026-07-04T14:24:18.977374+00:00","updated_at":"2026-07-04T14:24:18.977374+00:00"}