{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:K77AMIH36CD4GR43YU6LT7VW2R","short_pith_number":"pith:K77AMIH3","schema_version":"1.0","canonical_sha256":"57fe0620fbf087c3479bc53cb9feb6d46dc7ab3d547e61782bc023152471f141","source":{"kind":"arxiv","id":"1708.01628","version":1},"attestation_state":"computed","paper":{"title":"Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT","cs.SY"],"primary_cat":"cs.MA","authors_text":"Faisal Riaz, Muaz A. Niazi","submitted_at":"2017-08-04T18:11:24Z","abstract_excerpt":"Making roads safer by avoiding road collisions is one of the main reasons for inventing Autonomous vehicles (AVs). In this context, designing agent-based collision avoidance components of AVs which truly represent human cognition and emotions look is a more feasible approach as agents can replace human drivers. However, to the best of our knowledge, very few human emotion and cognition-inspired agent-based studies have previously been conducted in this domain. Furthermore, these agent-based solutions have not been validated using any key validation technique. Keeping in view this lack of valid"},"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":"1708.01628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2017-08-04T18:11:24Z","cross_cats_sorted":["cs.AI","cs.GT","cs.SY"],"title_canon_sha256":"a1d6a9d977eb218b2339bbb265283c3deb8bec0561630ffd92bacbdf7b9bc014","abstract_canon_sha256":"580f487df2bd5f773977162496a1613181d2b27166455625e4d9659e4575a6ef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:18.997959Z","signature_b64":"ptYZ9j8OYrawqDgrkT+ujnGSQMX/9o4JI6sxHFP3uxmSW9BiTOoBnDMwsEQsWvE0hi/uAP01DjIyrSyxqb4cCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57fe0620fbf087c3479bc53cb9feb6d46dc7ab3d547e61782bc023152471f141","last_reissued_at":"2026-05-18T00:31:18.997206Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:18.997206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT","cs.SY"],"primary_cat":"cs.MA","authors_text":"Faisal Riaz, Muaz A. Niazi","submitted_at":"2017-08-04T18:11:24Z","abstract_excerpt":"Making roads safer by avoiding road collisions is one of the main reasons for inventing Autonomous vehicles (AVs). In this context, designing agent-based collision avoidance components of AVs which truly represent human cognition and emotions look is a more feasible approach as agents can replace human drivers. However, to the best of our knowledge, very few human emotion and cognition-inspired agent-based studies have previously been conducted in this domain. Furthermore, these agent-based solutions have not been validated using any key validation technique. Keeping in view this lack of valid"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01628","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":"1708.01628","created_at":"2026-05-18T00:31:18.997335+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.01628v1","created_at":"2026-05-18T00:31:18.997335+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01628","created_at":"2026-05-18T00:31:18.997335+00:00"},{"alias_kind":"pith_short_12","alias_value":"K77AMIH36CD4","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_16","alias_value":"K77AMIH36CD4GR43","created_at":"2026-05-18T12:31:24.725408+00:00"},{"alias_kind":"pith_short_8","alias_value":"K77AMIH3","created_at":"2026-05-18T12:31:24.725408+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/K77AMIH36CD4GR43YU6LT7VW2R","json":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R.json","graph_json":"https://pith.science/api/pith-number/K77AMIH36CD4GR43YU6LT7VW2R/graph.json","events_json":"https://pith.science/api/pith-number/K77AMIH36CD4GR43YU6LT7VW2R/events.json","paper":"https://pith.science/paper/K77AMIH3"},"agent_actions":{"view_html":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R","download_json":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R.json","view_paper":"https://pith.science/paper/K77AMIH3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.01628&json=true","fetch_graph":"https://pith.science/api/pith-number/K77AMIH36CD4GR43YU6LT7VW2R/graph.json","fetch_events":"https://pith.science/api/pith-number/K77AMIH36CD4GR43YU6LT7VW2R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R/action/storage_attestation","attest_author":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R/action/author_attestation","sign_citation":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R/action/citation_signature","submit_replication":"https://pith.science/pith/K77AMIH36CD4GR43YU6LT7VW2R/action/replication_record"}},"created_at":"2026-05-18T00:31:18.997335+00:00","updated_at":"2026-05-18T00:31:18.997335+00:00"}