BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Center for Behavior, Evolution, and Culture - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Center for Behavior, Evolution, and Culture
X-ORIGINAL-URL:https://bec.ucla.edu
X-WR-CALDESC:Events for Center for Behavior, Evolution, and Culture
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250210T120000
DTEND;TZID=America/Los_Angeles:20250210T133000
DTSTAMP:20260417T092026
CREATED:20250106T224749Z
LAST-MODIFIED:20250225T203806Z
UID:7700-1739188800-1739194200@bec.ucla.edu
SUMMARY:Ryan Nichols - Lineage Fitness Theory and the Lineage Manipulation and Mutualism Mechanism: Bridging Evolutionary Social Sciences & Cultural Evolution
DESCRIPTION:Lineage Fitness Theory and the Lineage Manipulation and Mutualism Mechanism: Bridging Evolutionary Social Sciences & Cultural Evolution\nRyan Nichols\nDepartment of Philosophy\, California State University Fullerton\nLineage fitness theory aims to improve integration of cultural evolution with evolutionary psychological and social sciences by explaining the onset and maintenance of key traditions as products of gene-culture co-evolutionary selection of a mechanism. The lineage fitness hypothesis is deduced from inclusive fitness theory\, corresponding middle-level evolutionary hypotheses\, and stated assumptions pertaining to cumulative culture. The lineage manipulation and mutualism mechanism refers to the causal processes by which ancestors exploited intra-lineage cumulative cultural traditions to marginally raise their fitness by partially controlling inputs to evolved psychological modules of descendants. This caused increases in rates of co-descendant survival\, in welfare tradeoff ratio amongst distant co-descendants\, and led to manipulation of mating preferences and behaviors of co-descendants. Unique predictions of this theory that are not entailed by kin selection theory are identified. The posterior probability of this theory is raised by attention to studies demonstrating effects of cultural traditions on patrilineal investment\, and by a case study of Han Chinese culture and genomics. A Bayesian argument noting several limitations concludes the discussion by affirming (only) that the lineage fitness hypothesis merits further investigation by experts. \n 
URL:https://bec.ucla.edu/event/ryan-nichols-lineage-fitness-theory-and-the-lineage-manipulation-and-mutualism-mechanism-bridging-evolutionary-social-sciences-cultural-evolution/
LOCATION:352 Haines Hall
CATEGORIES:2025,Past Presentation,Presentation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250224T120000
DTEND;TZID=America/Los_Angeles:20250224T133000
DTSTAMP:20260417T092026
CREATED:20250106T224931Z
LAST-MODIFIED:20250225T204705Z
UID:7707-1740398400-1740403800@bec.ucla.edu
SUMMARY:Mike Frank - Bridging the data gap between children and AI models
DESCRIPTION:Bridging the data gap between children and AI models\nMike Frank\n\nBenjamin Scott Crocker Professor of Human Biology\, Stanford University\n\nLarge language and language-vision models show intriguing emergent behaviors\, yet they receive at least three to four – and sometimes as much as six – orders of magnitude more language data than human children. What accounts for this vast difference in sample efficiency? I will describe steps towards a paradigm in which we can address this question. In particular\, I’ll discuss the use of child language and egocentric video data for model training\, and the use of developmental data for model evaluation. This paradigm provides a model-based framework for exploring the nature of children’s early language learning. \n 
URL:https://bec.ucla.edu/event/mike-frank-bridging-the-data-gap-between-children-and-ai-models/
LOCATION:352 Haines Hall
CATEGORIES:2025,Past Presentation,Presentation
END:VEVENT
END:VCALENDAR