{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:ENE5VF5KQPX366AQPCELY3JVAA","short_pith_number":"pith:ENE5VF5K","schema_version":"1.0","canonical_sha256":"2349da97aa83efbf78107888bc6d35000db74346a47f64d2bad949c14864386b","source":{"kind":"arxiv","id":"2212.01354","version":2},"attestation_state":"computed","paper":{"title":"Designing Ecosystems of Intelligence from First Principles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MA","nlin.AO"],"primary_cat":"cs.AI","authors_text":"Alexander Tschantz, Alex B Kiefer, Beren Millidge, Brennan Klein, Capm Petersen, Christopher L Buckley, Conor Heins, Dalton A R Sakthivadivel, Dan Mapes, Gabriel Ren\\'e, Jason G Fox, Kaiser Fung, Karl J Friston, Magnus Koudahl, Mahault Albarracin, Maxwell J D Ramstead, Riddhi J Pitliya, Safae Essafi Tremblay, Steven Swanson, Toby St Clere Smithe","submitted_at":"2022-12-02T18:24:06Z","abstract_excerpt":"This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosystem of natural and synthetic sense-making, in which humans are integral participants -- what we call ''shared intelligence''. This vision is premised on active inference, a formulation of adaptive behavior that can be read as a physics of intelligence, and which inherits from the physics of self-organization. In this context, we understand intelligence as the capacity to accumulate evidence for a generative model of on"},"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":"2212.01354","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2022-12-02T18:24:06Z","cross_cats_sorted":["cs.MA","nlin.AO"],"title_canon_sha256":"cf040b03cd8d87e55b6c8a6f067f55cdfcc2990292a7406070071776c30e7845","abstract_canon_sha256":"714cd79ef07044cf05659964da05220ceb397eb56d872ab5d396ec0eb976861d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:32:16.182210Z","signature_b64":"nOh3EGFC+MjaC1N+/wGyqxue4zMhbNu41g2I6+ChFTdQhWymMmTxp03TRX7xDSWxFG6TmZyg9IngzfuQwluHAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2349da97aa83efbf78107888bc6d35000db74346a47f64d2bad949c14864386b","last_reissued_at":"2026-07-05T07:32:16.181705Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:32:16.181705Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Designing Ecosystems of Intelligence from First Principles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MA","nlin.AO"],"primary_cat":"cs.AI","authors_text":"Alexander Tschantz, Alex B Kiefer, Beren Millidge, Brennan Klein, Capm Petersen, Christopher L Buckley, Conor Heins, Dalton A R Sakthivadivel, Dan Mapes, Gabriel Ren\\'e, Jason G Fox, Kaiser Fung, Karl J Friston, Magnus Koudahl, Mahault Albarracin, Maxwell J D Ramstead, Riddhi J Pitliya, Safae Essafi Tremblay, Steven Swanson, Toby St Clere Smithe","submitted_at":"2022-12-02T18:24:06Z","abstract_excerpt":"This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosystem of natural and synthetic sense-making, in which humans are integral participants -- what we call ''shared intelligence''. This vision is premised on active inference, a formulation of adaptive behavior that can be read as a physics of intelligence, and which inherits from the physics of self-organization. In this context, we understand intelligence as the capacity to accumulate evidence for a generative model of on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.01354","kind":"arxiv","version":2},"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/2212.01354/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":"2212.01354","created_at":"2026-07-05T07:32:16.181772+00:00"},{"alias_kind":"arxiv_version","alias_value":"2212.01354v2","created_at":"2026-07-05T07:32:16.181772+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.01354","created_at":"2026-07-05T07:32:16.181772+00:00"},{"alias_kind":"pith_short_12","alias_value":"ENE5VF5KQPX3","created_at":"2026-07-05T07:32:16.181772+00:00"},{"alias_kind":"pith_short_16","alias_value":"ENE5VF5KQPX366AQ","created_at":"2026-07-05T07:32:16.181772+00:00"},{"alias_kind":"pith_short_8","alias_value":"ENE5VF5K","created_at":"2026-07-05T07:32:16.181772+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.19537","citing_title":"Mesh Inference: A Formal Model of Collective Inference Without a Center","ref_index":24,"is_internal_anchor":false},{"citing_arxiv_id":"2606.04935","citing_title":"What Type of Inference is Active Inference?","ref_index":98,"is_internal_anchor":false},{"citing_arxiv_id":"2606.20658","citing_title":"Expected Free Energy-based Planning as Variational Inference","ref_index":87,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA","json":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA.json","graph_json":"https://pith.science/api/pith-number/ENE5VF5KQPX366AQPCELY3JVAA/graph.json","events_json":"https://pith.science/api/pith-number/ENE5VF5KQPX366AQPCELY3JVAA/events.json","paper":"https://pith.science/paper/ENE5VF5K"},"agent_actions":{"view_html":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA","download_json":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA.json","view_paper":"https://pith.science/paper/ENE5VF5K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2212.01354&json=true","fetch_graph":"https://pith.science/api/pith-number/ENE5VF5KQPX366AQPCELY3JVAA/graph.json","fetch_events":"https://pith.science/api/pith-number/ENE5VF5KQPX366AQPCELY3JVAA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA/action/storage_attestation","attest_author":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA/action/author_attestation","sign_citation":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA/action/citation_signature","submit_replication":"https://pith.science/pith/ENE5VF5KQPX366AQPCELY3JVAA/action/replication_record"}},"created_at":"2026-07-05T07:32:16.181772+00:00","updated_at":"2026-07-05T07:32:16.181772+00:00"}