Japan

In this study, we used three years of house finch (Haemorhous mexicanus) song recordings spanning four decades in the introduced eastern range to assess how individual-level cultural transmission mechanisms drive population-level changes in birdsong. First, we developed an agent-based model (available as a new R package called TransmissionBias) that simulates the cultural transmission of house finch song given different parameters related to transmission biases, or biases in social learning that modify the probability of adoption of particular cultural variants. Next, we used approximate Bayesian computation and machine learning to estimate what parameter values likely generated the temporal changes in diversity in our observed data. We found evidence that strong content bias, likely targeted towards syllable complexity, plays a central role in the cultural evolution of house finch song in western Long Island. Frequency and demonstrator biases appear to be neutral or absent. Additionally, we estimated that house finch song is transmitted with extremely high fidelity. Future studies should use our simulation framework to better understand how cultural transmission and population declines influence song diversity in wild populations.

Cultural Evolution Society 2021

Content bias in the cultural evolution of house finch song

The 9th Brazilian Conference on Intelligent Systems (BRACIS), the 16h Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), and the 12th Concurso de Teses e Dissertações em Inteligência Artificial e Computacional (CTDIAC) was held from 20 to 23 October, 2020.

BRACIS originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (22 editions), and the Brazilian Symposium on Neural Networks - SBRN (13 editions). ENIAC is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. CTDIAC is a satellite event whose goals are to disseminate and award the best dissertations and theses (MSc and PhDs concluded in Brazilian universities from June 2018 to May 2020) in Artificial and Computational Intelligence areas.

In this year, the Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) will be held in conjunction with BRACIS 2020. This sysposium aims at integrating researchers, practitioners, developers, students and users to present their research results, to discuss ideas, and to exchange techniques, tools, and practical experiences – related to the Data Mining and Machine Learning areas.

BRACIS 2020

technical paper

### Conference Welcome

Welcome to the third Cultural Evolution Society Conference, CES2021. In the conference, which will be held from June 9-11, 2021, about 180 researchers from East Asia, Oceania, Middle East, Europe, North and South America give presentations on their latest research advancing the evolutionary understanding of human and nonhuman animal culture.

### Schedule and Program

[![](https://assets.underline.io/uploads/markdown_image/1/image/1ef06ffd05f80957b4a5b685f63ee3ba.png)](https://www.chain.hokudai.ac.jp/CES2020/wp-content/uploads/2021/06/fullprogram.pdf)
[![](https://assets.underline.io/uploads/markdown_image/1/image/12285eb22580949635121d15d5b46325.png)](https://www.chain.hokudai.ac.jp/CES2020/wp-content/uploads/2021/06/abstracts.pdf)

**Program-at-glance**

![](https://assets.underline.io/uploads/markdown_image/1/image/c0d0d4c8fcdad49d12631574fd966ae8.png)

### About the conference 
 
**Help-desk:** 
Please first visit [Help-desk](https://underline.io/events/120/help-desk) where you can find the instructions and manuals for exploring the conference site. 

**Plenary sessions:**
Five leading researchers give a live talk. It is like a TV show. The audience can submit a question from the chat window. Chat messages are immediately delivered to speakers and moderators.

**Q&A sessions (parallel):**
Each presenter first gives a 2-minute live lightning talk followed by an 8-minute live discussion with the audience. It uses Zoom.

**Discussion sessions:** 
The audience can approach presenters and discuss their research. The sessions are held in a dedicated room in Gathertown.
 
**Gathertown:**
It is a platform dedicated to live virtual interactions.
Gather Town is available for all participants 24 hours during the conference.
You can meet and talk with anybody at a lounge or at a table in Gathertown.
Further Gather Town instruction and how to use short keys please find in our [Help desk page](https://underline.io/events/120/help-desk). 

**Videos and slides:**

* Plenary sessions and the Q&A sessions will be recorded and uploaded after the sessions.
* All the videos and slides are available for 60 days after the conference but only to registered ones. 

**Text-based chatting with the speakers:** 
You can chat with any speaker in the Q&A and discussion sessions. A chat window is available on each speaker’s page, and you can leave your questions there. 

**Announcement to the other participants:**
If you want to make an announcement to the other participants (e.g., “Hey, let’s meet at the lounge in Gathertown from 9pm CEST!), please use twitter (#CESConf2021).



### Code of conduct

See the full details of [the code of conduct](https://www.chain.hokudai.ac.jp/CES2020/code-of-conduct/).
&nbsp; 
 CES is dedicated to providing a welcoming and harassment-free conference experience for everyone, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion, nationality, or the presence of or care for dependents. 
We do not tolerate harassment of conference participants in any form. Conference participants violating these rules may be sanctioned or expelled from the conference at the discretion of the conference organizers.

&nbsp;
**Harassment can occur in-person or virtually, and includes, but is not limited to:**
* Comments (verbal, text, etc.) that reinforce social structures of domination related to gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion, nationality
* Sexual images in public spaces (physical or virtual)
* Deliberate intimidation, stalking, or following
* Harassing photography or recording (including sharing of presentation materials without consent)
* Sustained disruption of talks or other events (including “Zoombombing”)
* Inappropriate physical contact or unwelcome sexual attention
* Advocating for, or encouraging, any of the above behaviour 

&nbsp;
 **Inclusiveness Committee**:
&nbsp;
 To facilitate implementing the code of conduct and foster a climate of inclusion, we have developed an inclusiveness committee. Below is their contact information:
 **Hiromi Matsumae**:	matsumae.hiromi.g@tokai.ac.jp
 **Patrick Savage**:	psavage@sfc.keio.ac.jp
 **Sarah Mathew**:	Sarah.Mathew@asu.edu
 **Gmail:** inclusivenessCES2021@gmail.com
 See [more details about reporting the harassment.](https://www.chain.hokudai.ac.jp/CES2020/code-of-conduct/)

### Organizing committee

**Honorary Conference Organizer:** [Kenichi Aoki (Meiji University)](https://sites.google.com/site/kenichi1aoki/home) 

**Chair:** [Masanori Takezawa (Hokkaido University)](https://lalalarakko.github.io)

**Scientific Committee:** [Kenichi Aoki (Meiji University)](https://sites.google.com/site/kenichi1aoki/home), [Yasuo Ihara (the University of Tokyo)](https://researchmap.jp/read0209180?lang=en), [Hiromi Matsumae (Tokai University)](https://sites.google.com/site/hiromimatsumae/eng), [Naoko Matsumoto (Okayama University)](https://researchmap.jp/nmatsumoto_okayama-u), [Masako Myowa (Kyoto University)](https://myowa.educ.kyoto-u.ac.jp/en), [Hisashi Nakao (Nanzan University)](https://www.hisashinakao.com/), [Patrick E. Savage (Keio University)](https://sites.google.com/view/comp-music-lab/home)

**Local Organizing Committee:** [Yutaka Horita (Teikyo University)](https://sites.google.com/site/yhoritapage/), [Masanori Takezawa (Hokkaido University)](https://lalalarakko.github.io/), [Ayaka Takimoto (Hokkaido University)](https://lynx.let.hokudai.ac.jp/~takimoto/), [Kohei Tamura (Tohoku University)](https://researchmap.jp/7000017854)

**Inclusiveness Committee:** [Sarah Mathew (Arizona State University)](https://www.sarahmathew.net/), [Hiromi Matsumae (Tokai University)](https://sites.google.com/site/hiromimatsumae/eng), [Patrick E. Savage (Keio University)](https://sites.google.com/view/comp-music-lab/home)


![](https://assets.underline.io/uploads/markdown_image/1/image/967110a00d200a6b20d6f4fa6556ba13.png)

For attending the conference, you first need to register and pay fees from [the link here](https://www.chain.hokudai.ac.jp/CES2020/registration/). After the payment of the registration fees, you will receive a ticket, which is necessary for accessing the conference site. After the payment of the registration fees, you will receive a ticket, which is necessary for accessing the conference site

Registration fee

Evolutionary theory supports the development of scientific explanations of the biological, behavioral, cognitive, and cultural diversity found around the world. Despite the wide ranging interdisciplinary nature of evolution science, evolution education in the general education context remains almost exclusively within the domain of the biology classroom. To engage this challenge and opportunity in a systematic fashion, the OpenEvo project has emerged as a Networked Improvement Community for evolving an open, networked, and interdisciplinary evolution education research community. The network is organized around principles of sociocratic governance, and focused on creating the conditions for innovations in interdisciplinary evolution education to emerge and thrive. The Concepts & Theory Circle has begun a critical analysis of the internationally recognized Understanding Evolution Conceptual Framework for guiding evolution teaching across K-16 (general education and undergraduate) contexts. The Research Circle is working to develop novel assessment tools for measuring conceptual learning about evolution as an interdisciplinary science, and the supports needed to engage in empirical research on the proposed revisions to the Understanding Evolution Conceptual Framework. The Teacher Education Circle is working to develop open syllabi for model teacher education courses and professional development programs to support teaching evolution as an interdisciplinary science. We will highlight the challenges and opportunities presented by this work, describe the current state of core projects within the network, and discuss the potential for teaching cultural evolution science to emerge as an essential educational innovation needed to foster an understanding of our changing world adequate to the challenges of the moment.

Evolving an open, networked, and interdisciplinary evolution education research community

Institutions of modern societies have often been argued to evolve, but their evolution is rarely examined in Darwinian and empirical terms. Here we use the categorical data set MaxRange on nations’ regime-types and their constituting institutions historically for analysis of their phylogeny. The MaxRange data set covers all nations in the world system of nations since 1600 with details on accountability structures, executive strength and degree of centralization, constitutional strength, democracy and other aspects of the political systems. We describe and analyze the character of the “true phylogeny” of regime-type evolution in the nations of the world 1600--2020. Our results indicate that evolutionary network rather evolutionary tree models have superior fit to data. Using the extracted phylogeny, we also investigate the dynamic networks of nations in terms of regime-types, accountability structures and their related background factors such as religions and language. Network centrality measures of nations and regime-types provide new important explanatory variables for network-adjusted survival analyses of various institutions, from types and levels of democracy to details of regime-types, including institutions like parliamentarism, presidentialism, and their hybrid forms.

An Evolutionary Political Science: How Modern Nations Evolved Institutionally

Politics today is often characterised as a single dimension which represents a conflict, brought about by modernisation and industrialisation, between the hierarchy and traditionalism of the establishment and people seeking equity and change. Here we review evidence that contemporary politics reflects not one, but two fundamental dilemmas, and that these ‘dual foundations’ of politics are not unique to modern nations, but are inherent to life in all human groups. Human interdependence creates two dilemmas which require people to hold ideas about what is to be done. One dilemma concerns conflict between cooperation and competition. This dilemma leads to differences of opinion regarding the extent of equality and inequality. The other dilemma is about the coordination of collective activities. This dilemma leads to conflicts about the extent of social control. We use anthropological evidence from the Human Relations Area Files, and other literature from anthropology and related disciplines, to extend psychological work showing that these two fundamental dilemmas of group living lead to two dimensions of political conflict and ideology across a large diversity of societies. We end by arguing that quantitative approaches to studying political psychology beyond the experiences of industrialised nations will advance research in both anthropology and psychology. The dual foundations provide the big picture which can tie together the study of human politics across societies and disciplines.

We find the dual foundations of political ideology across the diversity of human social life

In this research I explore the hypothesis that it can be beneficial to the fitness of cultural variants if they channel the energy of the individual who adopts the variant away from biological reproduction and toward the reproduction of the cultural variant. I label this the “inverse correlation hypothesis of cultural maladaptation.” This hypothesis is based on the observation that human biological reproduction is expensive in terms of energy and time. Therefore, cultural traits that minimize reproduction consequently make available resources that an individual could utilize instead to propagate the cultural trait in question. This hypothesis is usually advanced as a plausible explanation of extreme cultural traditions that reduce sexual reproduction to zero, such as celibacy. My first task is to discuss the implications of this hypothesis and to argue that, although it has merits, it has only been given a superficial scientific treatment in the literature, which is unfortunate. The reason for this, I argue, might be due to a vague theoretical distinction between, on the one hand, cultural maladaptive traits that nullify biological fitness and, on the other, selectively neutral or non-adaptive cultural traits that do not affect fitness values. My second task is to articulate an adequate theoretical framework that makes the inverse correlation hypothesis a scientifically respectable explanation of cultural maladaptation. I discuss some theoretical and empirical challenges that this hypothesis faces, but that they are not fatal as they are well-trodden by evolutionary biologists and philosophers.

The inverse correlation hypothesis of cultural maladaptation.

I will highlight a funding scheme that I am running on behalf of the Cultural Evolution Society. The scheme will address issues that will transform the important, yet underfunded, field of cultural evolution. How our cultures evolve (including how information is transmitted, how people make decisions, and the interaction with our biology) is a pressing issue in a world in which our cultural activities are causing rapid, and drastic, social and physical changes. Through 16 research projects, 5 applied working groups, 5 workshops, 1 landmark conference, 3 capacity building training courses, and public engagement activities, the grant aims to tackle early career obstacles, western-centrism, traditional disciplinary divides, and division of scientists and public policy makers. Join me for more information, videos on specifics, and open discussions. In the meantime further details can be found on the cultural evolution society website.

Transforming the Field of Cultural Evolution and Its Application to Global Human Futures

Previous research has sought to explain the rise of right-wing populist leaders in terms of the evolutionary framework of dominance and prestige. In this framework, dominance is defined as high social rank acquired via coercion and fear, and prestige is defined as high social rank acquired via competence and admiration. Previous studies have shown that right-wing populist leaders are rated as more dominant than non-populist leaders, and right-wing populist/dominant leaders are favoured in times of economic uncertainty and intergroup conflict. In this paper, we explore and critique this application of dominance–prestige to politics. First, we argue that the dominance–prestige framework, originally developed to explain inter-personal relationships within small-scale societies characterised by face-to-face interaction, does not straightforwardly extend to large-scale democratic societies which have frequent anonymous interaction and complex ingroup–outgroup dynamics. Second, we show that economic uncertainty and intergroup conflict predict a preference not only for dominant leaders, but also for prestigious leaders. Third, we show that perceptions of leaders as dominant or prestigious are not fixed, and depend on the political ideology of the perceiver: people view leaders who share their ideology as prestigious, and those who oppose their ideology as dominant, whether that ideology is liberal or conservative. Fourth, we show that political ideology is a stronger predictor than economic uncertainty of preference for Donald Trump vs Hillary Clinton in the 2016 US Presidential Election, contradicting previous findings that link Trump's success to economic uncertainty. We conclude by suggesting that, if economic uncertainty does not directly affect preferences for right-wing populist leaders, other features of their discourse such as higher emotionality might explain their success.

When do people prefer dominant over prestigious political leaders?

A feedback loop between human self-domestication and dog domestication contributing to language evolution?

Seeing nonhuman animals as cultural beings depends on perspectives and assumptions in theoretical frameworks and empirical methodologies. (Mis)recognizing animal culture comes down to what counts as teaching, imitation or cultural social transmission of information. My model of culture shifts the focus to social ontology.
Culture is a real social kind, meaning ‘culture’ can both do explanatory work and be explained in virtue of the causal and constitutive properties of social practices. Culture is dynamic meaning-making processes; ways of being wherein behaviours, objects, and places have salience/significance for social agents in virtue of their social practices (i.e., social meaning). Cultural phenomena are imbued with and carry information, knowledge and value that go beyond biological function and mere means to ends. I argue that some animals engage in meaning-making practices that are co-created, re-created (re)enacted, embedded, and transmitted in actions, interactions and relationships within social matrices; all of which constitutes culture.
At stake, is our epistemic access to animal culture and implications for conservation. How can we know there is social meaning? Heyes (2019) states we are a “long way from knowing how to integrate explanation and understanding, information and meaning, science and the humanities” (p.43). Inherent in her perspective are dichotomous relations of object(ive)/subject(ive). Consider information (objective) and meaning (subjective). Information is not a vacuous form awaiting content but rather meaning is always already immanent. Social information/meaning arises from intersubjectivity (even distally) and is always already objective/subjective. Epistemic access (explanation/understanding) requires science/humanities interaction to interrogate partial perspectives and situate objective knowledge.

Nonhuman Animal Culture: Meaning in Practice

Nobody doubts that human kinship has something to do with biology and reproduction and, at the same time, biology and reproduction are clearly insufficient to explain it. The unexplained part of human kinship by the biology of human reproduction is what anthropologists call ‘social’ kinship. Whereas the biology of human kinship does not seem to differ in any significant way from that of any sexually reproducing species, it is unclear how that social kinship should be ac-counted for, specifically, how it should be related with its biological counterpart. The purpose of this paper is to suggest a possible solution to this time-honored theoretical controversy in anthropology. My proposal shall be that it is the concept of sameness that which makes both biological and social kinship amenable to the same type of analysis.

On the Cultural Evolution of Kinship Systems

Models used in the study of cultural evolution have increasingly been recognized as formally similar and in some cases equivalent to agent-based models(ABM). ABM was developed originally as a computational method for social science. As cultural evolution authors occasionally claim to provide a formal, evolutionary method that current social science lacks, i investigate to what extent this common formal framework may provide a way of realizing such an ambition. Focusing on models used in social learning field studies, and the popular ABM-application of opinion dynamics (OD), i survey what currently is and is not possible with these models, and argue that in some ways they can solve each others problems. I end on discussing what an actual social science application of such "CE+OD" models would look like, considering two possible examples of such an application.

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Content bias in the cultural evolution of house finch song

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