Canada

**Abstract:**

A foundational hypothesis in cognitive science is that some of human thinking happens in a language of thought (LoT), which is universal across humans (Fodor, 1975). According to this hypothesis, words in different natural languages are labels for primitive concepts or their combinations in LoT. What are LoT&#39;s primitives? This is a major challenge because LoT is not directly observable, and thus needs to be inferred or &#39;reverse-engineered&#39;. We put forward a novel approach to reverse-engineering LoT, capitalizing on the existing knowledge about the optimization of the trade-off between complexity and informativeness in natural languages.

**List of authors and affiliations:**

Milica Denić: University of Amsterdam; Jakub Szymanik: University of Amsterdam

CogSci 2022

Reverse-engineering the language of thought: a new approach

**Abstract:**

A foundational hypothesis in cognitive science is that some of human thinking happens in a language of thought (LoT), which is universal across humans (Fodor, 1975). According to this hypothesis, words in different natural languages are labels for primitive concepts or their combinations in LoT. What are LoT's primitives? This is a major challenge because LoT is not directly observable, and thus needs to be inferred or 'reverse-engineered'. We put forward a novel approach to reverse-engineering LoT, capitalizing on the existing knowledge about the optimization of the trade-off between complexity and informativeness in natural languages.

**List of authors and affiliations:**

Milica Denić: University of Amsterdam; Jakub Szymanik: University of Amsterdam

poster

Join us for CogSci2022! Our 44th Annual Conference will be centered around the theme of diversity, with an accompanying range of keynotes and invited speakers who themselves highlight the diversity of our field. Our three symposia are Cognition across Diverse Populations, Cognition within Diverse Societies, and Global Challenges for Cognitive Science. The conference is being offered in a fully hybrid environment for onsite and online attendees.
 
 [**The Program at a Glance can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2022/07/Cogsci-2022-PAAG-Detailed-July-12final-1.pdf)
 [**The Detailed Program can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2022/08/DeArmond-CogSci2022-program-v113-final.pdf)

This conference requires a registration to attend. Please use the link below to secure your ticket. The website will be available to all registered attendees on July 25th. 

[Register to Attend](https://cognitivesciencesociety.org/registration/)

Registration Is Required

The 44th Annual Meeting of the Cognitive Science Society highlighted research on the theme Cognitive Diversity in addition to the full breadth and diversity of research topics offered by the society’s membership. 





**Abstract:**

Sensory-related word association differences in Parkinson's Disease for verb processing

Free word association tasks are tools to study spontaneous lexical organization in children and adults. Lexical organization resembles a network of words grounded on relevant sensory information; for example, verbs engage the most with motor information. Studying lexical networks in populations with motor disorders, like Parkinson's Disease (PD), will insight into the effect of relevant information deprivation in lexical organization.

We applied a free word association task with early-acquisition Spanish nouns as stimuli. Participants consisted of 20 with PD -divided into two groups depending on their cognitive state- and ten healthy older adults for control. Then, we used an artificial neural network to determine the semantic distance between stimuli-response dyads.

We found differentiated semantic distances for verb responses in all groups in an inverse u-shaped curve depending on their cognitive and PD state. Our findings suggest that lexical organization and meaning are not crystallized, but adapt from sensory information.

**List of authors and affiliations:**

Alma E. Ríos-Ponce: School of Psychology, UNAM; Marco A. Flores-Coronado: Universidad Autónoma del Estado de Morelos; Gabriel Marín-García: School of Psychology, UNAM; Natalia Arias-Trejo: Universidad Nacional Autónoma de Mexico, UNAM

Motor-related word association differences in Parkinson Disease for verb processing

**Abstract:**

From an early age, humans have access to the Approximate Number System (ANS), which allows an approximate sense of quantities. Several pieces of evidence show the emergence of a functional relationship between individual differences in ANS accuracy and mathematical performance, but the correlational nature of the studies do not allow us to clarify the nature of this relationship. In this study, we conducted a randomized controlled trial with a pre and post-test design, which aims to evaluate the hysteresis effect in modulating performance in an approximate quantity comparison task and the subsequent transfer effect on symbolic mathematical performance. One hundred and twenty-eight students from senior kindergarten and first grade of elementary school participated in this study. The results show a hysteresis effect in Reaction Time and efficiency index for First Grade, but no transfer effect to symbolic mathematical abilities was found.

**List of authors and affiliations:**

Nadir Díaz-Simón: Universidad de la República

Hysteresis in training task of Approximate Number System: transfer effect to symbolic math abilities

**Abstract:**

In order to successfully guide generalization of knowledge, category representation needs to be both: flexible enough to account for new evidence and stable enough to resist harmful change. Here we present a set of experiments designed to test how items that violate our expectations (i.e., category exceptions) affect category representation. Specifically, we wanted to know whether learning a category exception can change category boundaries. Does learning about penguins changes the way we think about birds? Do features of penguins contribute to making decisions as to whether a novel item is a bird? Across two experiments we found evidence that exceptions can change category boundaries and thus significantly affect future generalization. We discuss implications these findings have for the extent models of category learning and memory.

**List of authors and affiliations:**

Olivera Savic: The Ohio State University; Vladimir Sloutsky: The Ohio State University

Category Exceptions Change Category Boundaries

**Abstract:**

Although expectancy effects induced by placebo treatment are reported to attenuate depressive symptoms in the long run, mechanisms underlying situational dynamics are not well understood. Improved reward learning has been discussed as a candidate mediator for effects of positive expectancies on more positive mood. Here, we fitted a series of Q-learning models to measure the effect of sham antidepressant treatment vs. open-label placebo in a probabilistic reinforcement learning task. Treatment effects were observed mainly in those Q-learning models justified by the task structure. Additionally, interindividual variability remained the largest origin of unexplained variance in predictive match across models. These findings provide further support for the role of expectancies in reward learning. They also highlight the need for unraveling individual differences in cognitive mechanisms that account for differences in reward learning, and obtaining reliable estimates for them.

**List of authors and affiliations:**

Nick Augustat: University of Marburg; Li-Ching Chuang: Philipps-University of Marburg; Christian Panitz: University of Marburg and University of Leipzig; Christopher Stolz: Leibniz Institute for Neurobiology; Erik M. Mueller: University of Marburg; Dominik M Endres: Philipps-Universitaet

Modeling Reward Learning Under Placebo Expectancies: A Q-Learning Approach

**Abstract:**

The goal of language learning should be to fit in with the language community, and this often requires much more than linguistic knowledge. Although both social wellness in a second language (L2) society and L2 humor comprehension require sophisticated social and cultural knowledge beyond linguistic proficiency, their direct association has not previously been tested. Here we developed a novel method to assess different stages of humor comprehension (i.e., detection and appreciation) and conducted a series of experiments to explore its relationship with subjective social well-being in non-native English speakers. The results revealed significant correlations between language anxiety and social connectedness with both humor detection and humor appreciation in the L2. The findings suggest that the ability of L2 humor detection can be a hallmark of pragmatic proficiency and social wellness in an L2 community.

**List of authors and affiliations:**

Haoyin Xu: University of California, San Diego; Masaki Nakanishi: University of California, San Diego; Seana Coulson: UC San Diego

The Association between Humor Comprehension and Subjective Social Well-being in Non-native English Speakers

**Abstract:**

Humor comprehension is a great challenge for foreign/second language (L2) learners. Previous studies on humor comprehension in L2 speakers have relied only on descriptive approaches or subjective ratings on humor materials. However, no study has quantitatively investigated the behavior of L2 speakers in different stages of humor comprehension including humor detection and appreciation. This study first developed/validated a novel method to separately assess joke detection and appreciation, and conducted a series of experiments to explore the difference between native and non-native English speakers. The results showed that the non-native speakers achieved significantly lower accuracy in the joke detection than the native speakers, whereas the appreciation ratings were comparable between them. The results suggested that the non-native speakers are not necessarily disadvantageous in the joke appreciation, but detection, compared with native speakers

**List of authors and affiliations:**

Masaki Nakanishi: University of California San Diego; Haoyin Xu: University of California, San Diego; Seana Coulson: UC San Diego

Non-native English Speakers Are Not Disadvantageous in Humor Appreciation, but Detection, Compared with Native Speakers

**Abstract:**

Racial and gender bias, from advertisement to political rhetoric, is ubiquitous in persuasion. However, the impact of bias on persuasive discourse is often muddied by intent and framing. Reasoners practicing anti-racism may be more likely to scrutinize racially-specific arguments, while arguments made by women may only be diminished when they are emotionally charged. We sought to study how humans evaluate interpretive arguments, what makes certain arguments persuasive, and the impact of bias and emotionality on persuasiveness. We found that shallow heuristics such as argument length and readability are poor indicators for persuasive impact, but reasoners are more likely to be persuaded by arguments made by White people, particularly White women. Further, no difference was observed based on a reasoner's ability to see the arguer's face, implying that judgments are made solely by name recognition. Our focus on written arguments has broad implications for information literacy and racial justice.

**List of authors and affiliations:**

Lindsay Fields: University of South Florida; Zaid Marji: University of South Florida; John Licato: University of South Florida

Of a Different Persuasion: Perception of Minority Status and Persuasive Impact

**Abstract:**

This work studies publications in cognitive science and utilizes mathematical techniques to connect the analysis of the papers' content (abstracts) to the context (citation, journals). We apply topic modeling on the abstracts and community detection algorithms on the citation network, and measure content-context discrepancy to find academic communities that study similar topics but do not cite each other or publish in the same venues. These results show a promising, systematic framework to identify opportunities for scientific collaboration in a highly interdisciplinary and diverse field such as cognitive science.

**List of authors and affiliations:**

Lu Cheng: University of California, Los Angeles; Harlin Lee: UCLA; Girish Ganesan: Rutgers University; William L He: Northwestern University; Daniel Silverston: Brown University; Jacob G. Foster: University of California, Los Angeles

Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science

**Abstract:**

This study sought to replicate the effect of observing pitch gesture and clarify the effect of observing representational gesture on L2 lexical tone learning and to explore the influences of individual differences in lexical and non-lexical tone perception on these effects. The results revealed that observing representational gestures facilitates lexical tone discrimination, albeit to a lesser extent than observing pitch gestures, suggesting that task difficulty may influence its effect. Moreover, they revealed that individual differences in non-speech tone perception predict discrimination of lexical tones learned by observing pitch gesture and no gesture, but not representational gesture. Together, these findings suggest that task difficulty as well as individual differences in sensitivity to non-speech sounds influence the effects of observing gesture on novel L2 speech sound learning.

**List of authors and affiliations:**

Laura M. Morett: University of Alabama

Task-Based and Individual Differences Influence the Effect of Gesture Observation on Novel L2 Speech Sound Learning

**Abstract:**

Second-language (L2) learning is characterized by both positive and negative transfer from the first language (L1). However, psycholinguistic studies focus on a few syntactic phenomena and L1-L2 pairs at a time, resulting in an incomplete picture. We apply machine learning to seven learner corpora in English and Spanish with 39 language pairs, showing that statistical models combined with simple $n$-grams of part-of-speech tags and syntactic dependency relations achieve good performance in recovering the L1, indicating structural transfer from L1 to L2. Further machine learning using a rich hand-curated linguistic feature set allowed us to identify aspects of L2 linguistic structure particularly influenced by L1 (verbal morphology, average dependency tree parse depth, and headedness of clausal structures) as well as those with minimal influence (distributions of dependency relations, basic word orders, or non-projective dependencies).

**List of authors and affiliations:**

Zoey Liu: Boston College; Tiwalayo Eisape: Massachusetts Institute of Technology; Emily Prud'hommeaux: Boston College; Joshua K Hartshorne: Boston College

Reverse-engineering the language of thought: a new approach

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