{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:H3TEM5C7WPHGF2TWZPLDL5RE62","short_pith_number":"pith:H3TEM5C7","schema_version":"1.0","canonical_sha256":"3ee646745fb3ce62ea76cbd635f624f6a96be017e5639406c001e8b61b62f8aa","source":{"kind":"arxiv","id":"1503.03964","version":1},"attestation_state":"computed","paper":{"title":"Interactive Restless Multi-armed Bandit Game and Swarm Intelligence Effect","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.data-an","stat.ML"],"primary_cat":"cs.AI","authors_text":"Masato Hisakado, Shintaro Mori, Shunsuke Yoshida","submitted_at":"2015-03-13T06:53:01Z","abstract_excerpt":"We obtain the conditions for the emergence of the swarm intelligence effect in an interactive game of restless multi-armed bandit (rMAB). A player competes with multiple agents. Each bandit has a payoff that changes with a probability $p_{c}$ per round. The agents and player choose one of three options: (1) Exploit (a good bandit), (2) Innovate (asocial learning for a good bandit among $n_{I}$ randomly chosen bandits), and (3) Observe (social learning for a good bandit). Each agent has two parameters $(c,p_{obs})$ to specify the decision: (i) $c$, the threshold value for Exploit, and (ii) $p_{"},"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":"1503.03964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-03-13T06:53:01Z","cross_cats_sorted":["cs.LG","physics.data-an","stat.ML"],"title_canon_sha256":"1c83bf6d6e09375e3adf1a2f461cb2e39c09b9a68a51a305ff0a265a2b25208d","abstract_canon_sha256":"b4abc0046daedf249ffc6a3bd5d4f2794b70d4edb7d2b9238c7d9d8cd0e10d54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:29.136988Z","signature_b64":"reK049u66HgH8mMBnocZiFoEukkWHj7f0Dl3BC8A6kbxu6dcTSYDZxXhZkSHL6eguGwz9USdjzeHFTrSh4G0Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ee646745fb3ce62ea76cbd635f624f6a96be017e5639406c001e8b61b62f8aa","last_reissued_at":"2026-05-18T01:08:29.136484Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:29.136484Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Interactive Restless Multi-armed Bandit Game and Swarm Intelligence Effect","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.data-an","stat.ML"],"primary_cat":"cs.AI","authors_text":"Masato Hisakado, Shintaro Mori, Shunsuke Yoshida","submitted_at":"2015-03-13T06:53:01Z","abstract_excerpt":"We obtain the conditions for the emergence of the swarm intelligence effect in an interactive game of restless multi-armed bandit (rMAB). A player competes with multiple agents. Each bandit has a payoff that changes with a probability $p_{c}$ per round. The agents and player choose one of three options: (1) Exploit (a good bandit), (2) Innovate (asocial learning for a good bandit among $n_{I}$ randomly chosen bandits), and (3) Observe (social learning for a good bandit). Each agent has two parameters $(c,p_{obs})$ to specify the decision: (i) $c$, the threshold value for Exploit, and (ii) $p_{"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.03964","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":"1503.03964","created_at":"2026-05-18T01:08:29.136563+00:00"},{"alias_kind":"arxiv_version","alias_value":"1503.03964v1","created_at":"2026-05-18T01:08:29.136563+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.03964","created_at":"2026-05-18T01:08:29.136563+00:00"},{"alias_kind":"pith_short_12","alias_value":"H3TEM5C7WPHG","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_16","alias_value":"H3TEM5C7WPHGF2TW","created_at":"2026-05-18T12:29:22.688609+00:00"},{"alias_kind":"pith_short_8","alias_value":"H3TEM5C7","created_at":"2026-05-18T12:29:22.688609+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/H3TEM5C7WPHGF2TWZPLDL5RE62","json":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62.json","graph_json":"https://pith.science/api/pith-number/H3TEM5C7WPHGF2TWZPLDL5RE62/graph.json","events_json":"https://pith.science/api/pith-number/H3TEM5C7WPHGF2TWZPLDL5RE62/events.json","paper":"https://pith.science/paper/H3TEM5C7"},"agent_actions":{"view_html":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62","download_json":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62.json","view_paper":"https://pith.science/paper/H3TEM5C7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1503.03964&json=true","fetch_graph":"https://pith.science/api/pith-number/H3TEM5C7WPHGF2TWZPLDL5RE62/graph.json","fetch_events":"https://pith.science/api/pith-number/H3TEM5C7WPHGF2TWZPLDL5RE62/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62/action/storage_attestation","attest_author":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62/action/author_attestation","sign_citation":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62/action/citation_signature","submit_replication":"https://pith.science/pith/H3TEM5C7WPHGF2TWZPLDL5RE62/action/replication_record"}},"created_at":"2026-05-18T01:08:29.136563+00:00","updated_at":"2026-05-18T01:08:29.136563+00:00"}