{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:VHAFNNNOOSLSRXI4QAQLZTTV5O","short_pith_number":"pith:VHAFNNNO","schema_version":"1.0","canonical_sha256":"a9c056b5ae749728dd1c8020bcce75eb98cdd6f58bd8c936ccddaf28a881c9ae","source":{"kind":"arxiv","id":"1404.0994","version":3},"attestation_state":"computed","paper":{"title":"Evolutionary game theory using agent-based methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.AO","physics.bio-ph"],"primary_cat":"q-bio.PE","authors_text":"Arend Hintze, Christoph Adami, Jory Schossau","submitted_at":"2014-04-03T16:14:18Z","abstract_excerpt":"Evolutionary game theory is a successful mathematical framework geared towards understanding the selective pressures that affect the evolution of the strategies of agents engaged in interactions with potential conflicts. While a mathematical treatment of the costs and benefits of decisions can predict the optimal strategy in simple settings, more realistic settings such as finite populations, non-vanishing mutations rates, stochastic decisions, communication between agents, and spatial interactions, require agent-based methods where each agent is modeled as an individual, carries its own genes"},"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":"1404.0994","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.PE","submitted_at":"2014-04-03T16:14:18Z","cross_cats_sorted":["nlin.AO","physics.bio-ph"],"title_canon_sha256":"e20f44c3394cbb4daae4c1cf1e4a6acdb52d3b9af1a768e817b3590983277e82","abstract_canon_sha256":"3334d77cfa7f4da747b1a3faeaddd102b22e376a7edf6ddbd90dddb1633f5f1b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:06:41.268112Z","signature_b64":"N5FpxjHdyNbPd0NvjYMFq4Huc6+dqQHeEKjcOeS5BOZsRuMqoOVhRC9CxD/rmk533N5CgVcHFj9g7V9/EZ5UCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a9c056b5ae749728dd1c8020bcce75eb98cdd6f58bd8c936ccddaf28a881c9ae","last_reissued_at":"2026-05-18T01:06:41.267475Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:06:41.267475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evolutionary game theory using agent-based methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.AO","physics.bio-ph"],"primary_cat":"q-bio.PE","authors_text":"Arend Hintze, Christoph Adami, Jory Schossau","submitted_at":"2014-04-03T16:14:18Z","abstract_excerpt":"Evolutionary game theory is a successful mathematical framework geared towards understanding the selective pressures that affect the evolution of the strategies of agents engaged in interactions with potential conflicts. While a mathematical treatment of the costs and benefits of decisions can predict the optimal strategy in simple settings, more realistic settings such as finite populations, non-vanishing mutations rates, stochastic decisions, communication between agents, and spatial interactions, require agent-based methods where each agent is modeled as an individual, carries its own genes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.0994","kind":"arxiv","version":3},"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":"1404.0994","created_at":"2026-05-18T01:06:41.267563+00:00"},{"alias_kind":"arxiv_version","alias_value":"1404.0994v3","created_at":"2026-05-18T01:06:41.267563+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.0994","created_at":"2026-05-18T01:06:41.267563+00:00"},{"alias_kind":"pith_short_12","alias_value":"VHAFNNNOOSLS","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_16","alias_value":"VHAFNNNOOSLSRXI4","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_8","alias_value":"VHAFNNNO","created_at":"2026-05-18T12:28:54.890064+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/VHAFNNNOOSLSRXI4QAQLZTTV5O","json":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O.json","graph_json":"https://pith.science/api/pith-number/VHAFNNNOOSLSRXI4QAQLZTTV5O/graph.json","events_json":"https://pith.science/api/pith-number/VHAFNNNOOSLSRXI4QAQLZTTV5O/events.json","paper":"https://pith.science/paper/VHAFNNNO"},"agent_actions":{"view_html":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O","download_json":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O.json","view_paper":"https://pith.science/paper/VHAFNNNO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1404.0994&json=true","fetch_graph":"https://pith.science/api/pith-number/VHAFNNNOOSLSRXI4QAQLZTTV5O/graph.json","fetch_events":"https://pith.science/api/pith-number/VHAFNNNOOSLSRXI4QAQLZTTV5O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O/action/storage_attestation","attest_author":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O/action/author_attestation","sign_citation":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O/action/citation_signature","submit_replication":"https://pith.science/pith/VHAFNNNOOSLSRXI4QAQLZTTV5O/action/replication_record"}},"created_at":"2026-05-18T01:06:41.267563+00:00","updated_at":"2026-05-18T01:06:41.267563+00:00"}