{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:ASWDO5XWM7WPIJRRMXZYU5VA2O","short_pith_number":"pith:ASWDO5XW","schema_version":"1.0","canonical_sha256":"04ac3776f667ecf4263165f38a76a0d3a931fa670e9d061afe1b84914fa548a8","source":{"kind":"arxiv","id":"1602.05830","version":1},"attestation_state":"computed","paper":{"title":"Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.RO","q-bio.QM"],"primary_cat":"nlin.AO","authors_text":"Jos\\'e Halloy, Leo Cazenille, Nicolas Bredeche","submitted_at":"2016-02-02T17:33:46Z","abstract_excerpt":"Animal and robotic collective behaviours can exhibit complex dynamics that require multi-level descriptions. Here, we are interested in developing a multi-level modeling framework for the use of robots in studies about animal collective decision-making. In this context, using robots can be useful for validating models in silico, inducing calibrated repetitive stimuli to trigger animal responses or modulating and controlling animal collective behaviour. However, designing appropriate biomimetic robotic behaviour faces a major challenge: how to go from the collective decision dynamics observed w"},"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":"1602.05830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.AO","submitted_at":"2016-02-02T17:33:46Z","cross_cats_sorted":["cs.MA","cs.RO","q-bio.QM"],"title_canon_sha256":"1b14b46ec8685a0e9dfc3305cfe770c906e160f6861bec23bf9311874273c46a","abstract_canon_sha256":"c3bbd1236c3e3776295604e8f72af7f300795950bc33212a1936d2a9ce21d36b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:27.156557Z","signature_b64":"e5Rx1XWR3/siGqyuIRTk1xAWebrqKTKer1rtIhI5qHjUrpM38zGqkGO79Cjk8hLgWnkew3R/EJRW+8fdPV5+DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"04ac3776f667ecf4263165f38a76a0d3a931fa670e9d061afe1b84914fa548a8","last_reissued_at":"2026-05-17T23:54:27.155884Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:27.155884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.RO","q-bio.QM"],"primary_cat":"nlin.AO","authors_text":"Jos\\'e Halloy, Leo Cazenille, Nicolas Bredeche","submitted_at":"2016-02-02T17:33:46Z","abstract_excerpt":"Animal and robotic collective behaviours can exhibit complex dynamics that require multi-level descriptions. Here, we are interested in developing a multi-level modeling framework for the use of robots in studies about animal collective decision-making. In this context, using robots can be useful for validating models in silico, inducing calibrated repetitive stimuli to trigger animal responses or modulating and controlling animal collective behaviour. However, designing appropriate biomimetic robotic behaviour faces a major challenge: how to go from the collective decision dynamics observed w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.05830","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":""},"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":"1602.05830","created_at":"2026-05-17T23:54:27.155972+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.05830v1","created_at":"2026-05-17T23:54:27.155972+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.05830","created_at":"2026-05-17T23:54:27.155972+00:00"},{"alias_kind":"pith_short_12","alias_value":"ASWDO5XWM7WP","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_16","alias_value":"ASWDO5XWM7WPIJRR","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_8","alias_value":"ASWDO5XW","created_at":"2026-05-18T12:30:07.202191+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/ASWDO5XWM7WPIJRRMXZYU5VA2O","json":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O.json","graph_json":"https://pith.science/api/pith-number/ASWDO5XWM7WPIJRRMXZYU5VA2O/graph.json","events_json":"https://pith.science/api/pith-number/ASWDO5XWM7WPIJRRMXZYU5VA2O/events.json","paper":"https://pith.science/paper/ASWDO5XW"},"agent_actions":{"view_html":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O","download_json":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O.json","view_paper":"https://pith.science/paper/ASWDO5XW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.05830&json=true","fetch_graph":"https://pith.science/api/pith-number/ASWDO5XWM7WPIJRRMXZYU5VA2O/graph.json","fetch_events":"https://pith.science/api/pith-number/ASWDO5XWM7WPIJRRMXZYU5VA2O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O/action/storage_attestation","attest_author":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O/action/author_attestation","sign_citation":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O/action/citation_signature","submit_replication":"https://pith.science/pith/ASWDO5XWM7WPIJRRMXZYU5VA2O/action/replication_record"}},"created_at":"2026-05-17T23:54:27.155972+00:00","updated_at":"2026-05-17T23:54:27.155972+00:00"}