{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MMSADKDJ44HEBFQB4JBJ6WNYQP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5cb1d13ca47d64cf309d348b9337eb8fc7c95e9f11e14f2896669940711f24fa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-03-22T13:29:52Z","title_canon_sha256":"7a923d00646f9461cbf7163ac3c213ee11c5fe864c4cae69dd0637f2f9d32745"},"schema_version":"1.0","source":{"id":"1803.08343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08343","created_at":"2026-05-18T00:20:23Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08343v1","created_at":"2026-05-18T00:20:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08343","created_at":"2026-05-18T00:20:23Z"},{"alias_kind":"pith_short_12","alias_value":"MMSADKDJ44HE","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MMSADKDJ44HEBFQB","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MMSADKDJ","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:12c9ae65e50d74eff720da1b5e013bb5dcc0aefed48af041de1d53d58bf0091a","target":"graph","created_at":"2026-05-18T00:20:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application. However, culture-dependent robot behaviours are often implicitly set by designers, thus not allowing for an easy and automatic adaptation to different cultures. This paper presents a method for the design of culture-aware robots, that can automatically adapt their behaviour to conform to a given culture. We propose a mapping from cultural factors to related parameters of robot behaviours which relies on ","authors_text":"Alessandro Saffiotti, Antonio Sgorbissa, Barbara Bruno, Federico Pecora, Fulvio Mastrogiovanni","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-03-22T13:29:52Z","title":"A framework for Culture-aware Robots based on Fuzzy Logic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08343","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4e8979324d185de1354e6f9495a63aaaf894be40cf717a5e6d19dd885c184fd9","target":"record","created_at":"2026-05-18T00:20:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5cb1d13ca47d64cf309d348b9337eb8fc7c95e9f11e14f2896669940711f24fa","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-03-22T13:29:52Z","title_canon_sha256":"7a923d00646f9461cbf7163ac3c213ee11c5fe864c4cae69dd0637f2f9d32745"},"schema_version":"1.0","source":{"id":"1803.08343","kind":"arxiv","version":1}},"canonical_sha256":"632401a869e70e409601e2429f59b883ed575a78db2c8008ea0c3acd9e5d7d3c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"632401a869e70e409601e2429f59b883ed575a78db2c8008ea0c3acd9e5d7d3c","first_computed_at":"2026-05-18T00:20:23.105951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:23.105951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KXBQBcwFvr9IpmO1ZD/2WlrT327SuwXQgbU8OUyPqMmO7TLkOZERn/WrYyP4QW0GgGI6JUE0De2kS2ax0qhkBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:23.106474Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e8979324d185de1354e6f9495a63aaaf894be40cf717a5e6d19dd885c184fd9","sha256:12c9ae65e50d74eff720da1b5e013bb5dcc0aefed48af041de1d53d58bf0091a"],"state_sha256":"44a299262a4e5a9d12135f1cc6ae66ca81c99f237450eb9c7122ace3d971ac15"}