United States

What makes some sentences more memorable than others? In this work, we build on past work in image and word memorability and conduct a large-scale sentence memorability experiment with responses from 500 participants for 2,500 target sentences. We find that sentences vary in their intrinsic memorability. We predict the memorability of sentences from a variety of word- and sentence-level features, including representations from artificial large language models and the information-theoretic measure of surprisal. We find that the best predictor of sentence memorability is the presence of individually memorable words, but that in the absence of such words, sentence-level features predict sentence memorability. This suggests that otherwise forgettable words can together create memorable compositional meanings that remain in memory.

CogSci 2023

Context-sensitive features predict sentence memorability in the absence of memorable words

The 46th Annual Meeting of the Cognitive Science Society was an in-person meeting held in Rotterdam, The Netherlands at the Postillion Hotel & Conference Centre.

**ON-DEMAND PROGRAM ACCESS AFTER THE CONFERENCE**<br>
Recordings of the invited program are now available. You can access them by clicking on the 'Schedule' icon on the left. Select view by week and navigate to the day and time slot of the recording you wish to view. Click on the time slot to access the recording.

Recordings available (click on each recording to view):

**Thursday, July 25**<br>
0900: [Keynote Speaker Morgan Barense on Enhancing real-world event memory](https://underline.io/events/465/sessions/17997/lecture/99084-dynamics-between-minds-and-the-environment)<br>
1000: [Gleitman Award Winner Isabelle Dautriche on Language Foundations: Insights from acquisition, communication, cognition, and more](https://underline.io/events/465/sessions/18000/lecture/99085-gleitman-talk)<br>
1415: [Invited Symposium: Dynamics between minds and the environment](https://underline.io/events/465/sessions?eventSessionId=18016&searchGroup=lecture)<br>
1700: [Rumelhart Prize Presentation Speaker Alison Gopnik on Exploit, explore, empower: Three ages and three intelligences](https://underline.io/events/465/sessions/18028/lecture/99161-rp1-rumelhart-prize-presentation)<br>

**Friday, July 26**<br>
0900: [C.L. de Carvalho-Heineken Prize Keynote Speaker Kia Nobre on Focusing in memory](https://underline.io/events/465/sessions/18035/lecture/99162-hp1-c-l-de-carvalho-heineken-prize-keynote-address)<br>
1030: [Rumelhart Symposium: Childhood as exploration](https://underline.io/events/465/sessions/18038/lecture/100346-childhood-as-exploration)<br>
1415: [Elman Prize Symposium](https://underline.io/events/465/sessions?eventSessionId=18053&searchGroup=lecture)<br>
1600: [Invited Symposium: Dynamics between minds](https://underline.io/events/465/sessions?eventSessionId=18065&searchGroup=lecture)<br>
1745: [Keynote Speaker Andrea E. Martin on Neural dynamics encode the structure and statistics of language](https://underline.io/events/465/sessions/18077/lecture/99271-neural-dynamics-encode-the-structure-and-statistics-of-language)<br>

**Saturday, July 27**<br>
0900: [Keynote Speaker Gregor Schöner on How higher cognition emerges from the dynamics of strongly interacting neural populations](https://underline.io/events/465/sessions/18083/lecture/99273-dynamics-within-the-mind)<br>
1000: [Glushko Talks](https://underline.io/events/465/sessions?eventSessionId=18086&searchGroup=lecture)<br>
1500: [Invited Symposium: Dynamics within minds](https://underline.io/events/465/sessions?eventSessionId=18100&searchGroup=lecture)<br>


#### **CogSci 2024 Program Book**
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**The Program Book can be downloaded [here](https://drive.google.com/file/d/1yRVp1cBqRnAbdYi4GXWV_pZeyWNsRquv/view?usp=sharing).**

#### **Letter from the President**

Welcome to the 2024 Meeting of the Cognitive Science Society in Rotterdam! CogSci 2024 brings together a large community of cognitive scientists who have traveled here from around the world, as well as a smaller group of remote presenters. I would like to extend an especially warm welcome to our first-time CogSci meeting attendees, and hope that 
their experience inspires them to join our future meetings for many years to come.

I want to thank this year’s conference co-chairs, Larissa K Samuelson, Stefan Frank, Mariya Toneva, Allyson Mackey, and Eliot Hazeltine, for putting together an amazing series of invited talks and symposia around the theme of Dynamics of Cognition. The co-chairs also deserve credit for handling a record-breaking number of submissions and producing a truly exciting conference program 

Beyond the invited talks and symposia dedicated to this year’s conference theme, I would like to highlight the presentations and events honoring the 
Rumelhart, Elman, Gleitman and C .L . de Carvalho Heineken prize winners, including the Rumelhart reception on Thursday. As you may know, we are recording all of the invited talks and symposia, and all prize-winners’ talks, and will be making this content available after the conference. 

The Cognitive Science Society relies on the volunteer efforts of our Governing Board members who work on matters related to our membership; conference policies; diversity and inclusion, international, and outreach initiatives; prizes and much more. We welcome interest from Society members who would like to become more involved in what we do. The 
Society is deeply grateful to Rick Dale and Andrea Bender, who serve as editors of the two Society journals, Cognitive Science and Topics in Cognitive Science respectively. We especially acknowledge our editors’ generosity in donating their stipends each year to D&I and outreach efforts. 

This year’s Annual Meeting depends critically on the support of Marischal De Armond and his team at Podium Conference Specialists: Sharon Zwack, Cendrine De Vis, Sarah-Kate Burke, and Rachel Waller worked tirelessly to secure the venue and handled a multitude of logistical and organizational issues, from arranging coffee breaks and receptions to making sure that a huge number of posters fits comfortably into the available space. Finally, and importantly, I would like to acknowledge the Cognitive Science Society Executive Officer, Erica Wojcik, for managing the complex and ever expanding sphere of our Society’s activities.

I hope you enjoy this year’s meeting and the many different opportunities to engage with the vibrant community of cognitive scientists gathered here. I also hope you get a chance to explore the great city of Rotterdam with its many attractions, museums, restaurants and scenic views. If you’d like to talk more about our Society, or simply want to say hello, please stop by!

![](https://assets.underline.io/markdown_image/1/image/3c66d0e21fff30e204df1138ffd15173.jpeg)

**Anna Papafragou**  
President, Cognitive Science 
Society 2023-2024

**CODE OF CONDUCT**<br>
By attending the CogSci 2024 Conference, you are required to adhere to the society’s [Code of Conduct](https://drive.google.com/file/d/16-6KkptF0Gn3ZYGJDlpqpwTdImw45Ng0/view?usp=drive_link).

**ABOUT THE COGNITIVE SCIENCE SOCIETY**<br>
The Cognitive Science Society brings together researchers from around the world who hold a common goal: understanding the nature of the human mind. The mission of the Society is to promote Cognitive Science as a discipline, and to foster scientific interchange among researchers in various areas of study, including Artificial Intelligence, Linguistics, Anthropology, Psychology, Neuroscience, Philosophy, and Education.

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CogSci 2024

The 46th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

poster

The 45th Annual Meeting of the Cognitive Science Society will take place in Sydney, Australia as a modified hybrid conference. Presentations from the main-session room will be live-streamed every day for all events. This will include all invited talks and award sessions. Recordings of all CogSci 2023 sessions will be made available for on-demand viewing after the conference.<br>
The in-person component will be held at the International Convention Centre Sydney at Darling Harbour. The Conference will take place Wednesday July 26th – Saturday July 29th, 2023 (Wednesday, July 26th is the Workshops Day).

Join us!

<br>[**The Program at a Glance can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2023/07/COgSci-PAAG-V2.pdf)
<br>[**The Detailed Program can be found here**](https://online.fliphtml5.com/ebtyf/mswz/)
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#### **CogSci 2023 Program Book**
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<br>

The 45th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

The relevance of Broca's area to language grammar processing is well established. Its relevance to implicitly learned non-linguistic sequential rules has also been demonstrated. Previous work by our lab has shown this is true even if subjects are unaware they are being trained on, and tested for, sensitivity to these rules. We extend this work to show that the degree of differential activation in Broca's area for implicitly learned grammatical vs. ungrammatical sequences is correlated across subjects with their behavioral evidence of their degree of learning of these rules as assessed by reaction time differences. Broca's is among the three regions showing the highest association with degree of learning. This finding further underscores the relevance of Broca's for non-linguistic rule learning, and suggests that the original function of this area in our pre-human ancestors may have been the implicit learning of any kind of sequential patterns in the environment.

Degree of learning of an artificial grammar correlates with differential fMRI activation of Broca's area

Reference to events using pronouns like 'it' or demonstratives like 'that' has been difficult to study, because unlike in reference to people or objects, the ground truth of interpretation is harder to establish. In this paper, we introduce a new task to understand the roles of three parameters in event reference resolution: The referential expressions themselves, sentential aspect, and discourse structure. We find that different referring expressions reliably refer to specific parts of a discourse, and confirm previous findings that sentential aspect influences referential accessibility; that the structure of a discourse itself has a major effect on reference resolution, and most notably that, contrary to predictions in the literature, some events that are not on the right-frontier of a discourse are nevertheless available for reference. Our findings contribute to a growing literature on anaphor resolution that finds that the parameter structure that determines reference resolution is multifaceted, but predictable.

Discourse structure affects reference resolution to events in English: Evidence from a new paradigm

Repetition of linguistic structure plays a role in both language comprehension and production. Previously encountered structures are processed faster, and speakers tend to reuse them in new utterances—a phenomenon known as structural priming. According to the prevailing interpretation of structural priming, linguistic input activates an underlying mental representation based on constituents, a syntactic unit derived from rule-based grammars (e.g., [[he]NP [hears [a sound]NP]VP]S). Here we ask whether structural priming can occur for non-constituent parts-of-speech fragments, such as pronoun verb determiner (e.g., he hears a). Across two preregistered phrasal decision experiments, we show that structural priming can occur at the level of three-word parts-of-speech sequences and in the absence of constituents. Using corpus analysis, we further show that structural priming of non-constituents also occurs in real-life dialogue. These results imply that constituent structure is not a necessary prerequisite for structural priming and provide a challenge to contemporary approaches to grammar.

Does he hears a prime I prefer the? Testing a novel chunk-based perspective on structural priming

The lesser known G(rammatical)-Maze task (Forster, Guerrera, & Elliot, 2009) is arguably a better choice than self-paced reading (Mitchell, 2004) for detecting difficulty from word to word in online sentence processing over crowdsourcing platforms. In G-Maze, a participant must choose between each successive word in a sentence and a distractor word that does not make sense based on the preceding context. If a participant chooses the distractor as opposed to the actual word, then the trial ends and they may not complete the sentence. Thus, G-Maze automatically filters out data from inattentive participants, and more effectively localizes differences in processing difficulty. Still, the effort required to pick contextually inappropriate distractors for hundreds of words might cause an experimenter to hesitate before picking this method. To save experimenters this time and effort, Boyce, Futrell, and Levy (2020) developed A(uto)-Maze, a tool that automatically generates distractors using a computational language model. We now introduce the next generation of A-Maze: T(ransformer)-Maze. Transformer models are the current state of the art in natural language processing, and thousands, pretrained in a variety of languages, are freely available on the internet, specifically through Huggingface’s Transformers package (Wolf et al., 2020). In our validation experiment, T-Maze proves itself to be as effective as G-Maze with handmade materials, run in a lab. This tool thus allows psycholinguists to easily gather high-quality online sentence processing data in many different languages.

Transformer-Maze: An Accessible Incremental Processing Measurement Tool

Logical connective words in natural languages often have multiple interpretations. A disjunction can be exclusive (XOR) or inclusive (IOR), and a negative conjunction can be interpreted as alternative denial (NAND) or joint denial (NOR). Previous research has suggested that there is substantial crosslinguistic variation in the interpretation of such logical constructions. That languages fall into two groups with different default interpretations. The first group interprets a negative conjunction as alternative denial (NAND) and a negative disjunction as joint denial (NOR). The second group has the opposite default interpretations. Using an online card selection task, we tested speakers of English, Hungarian, Spanish, and Mandarin on a wide variety of logical constructions. We found that the speakers of these languages did not show considerable variation in their interpretations of the logical constructions tested. The results suggest that the interpretation of logical constructions may be more consistent crosslinguistically than previously hypothesized.

Crosslinguistic Consistency in the Interpretation of Logical Connectives: The case of English, Hungarian, Spanish, and Mandarin Chinese

Visual attention can influence how language is processed. For instance, previous research showed that visual cueing of a referent affects the choice of a particular grammatical structure. The present study extended this research to language comprehension and investigated whether visually cueing either the subject or the object of an event affects the interpretation of a textual event description in Bulgarian with either a subject-initial or object-initial word order. The presence of the visual cue decreased self-paced reading reaction times and altered the accuracy in response to a comprehension question. Differences were found depending on the gender of the referent, highlighting the interaction of the visual cue and other linguistic information such as case marking. This study demonstrates that visually induced "context" can affect the linguistic salience of a referent in discourse and illustrates the interaction of domain-general cognitive mechanisms in language processing.

Visual cueing affects the processing of grammatical structure: A self-paced reading study on non-canonical word order in Bulgarian

Is there a cognitive bias against absolute synonymy? The current work explored this question via a miniature mini-artificial language experiment featuring iterated learning, which can amplify weak cognitive biases, as languages are sifted through multiple adult learners. Participants were taught two novel synonymous verbs in positive or negative sentences. Afterwards, they had to generalize the words to new positive or
negative sentences. These sentences then served as the input sentences for the next participant in the diffusion chain and so on. Despite inconsistent input with regard to positive or negative meaning, participants differentiated the verbs. More than half of participants strongly differentiated them, specializing at least one term. However, transmission did not increase differentiation overall, suggesting that a bias against synonymy may encourage a minimally distinctive difference, not necessarily a systematic one, between synonyms.

A Weak Bias Against Strong Synonymy?

Consider the following two (hypothetical) generic causal claims: “Attending an all-girls school improves girls’ math scores” and “attending an affluent all-girls school improves girls’ math scores.” These claims not only differ in what they suggest about how test scores are distributed across different types of schools (i.e., “the data”), but also have the potential to communicate something about the speakers’ values: namely, the prominence they accord to affluence in representing and making decisions about the social world. Here, we examine the relationship between the level of granularity with which a cause is described in a generic causal claim (e.g., all-girls school vs. affluent all-girls school) and the value of the information contained in the causal model that generates that claim. We argue that listeners who know any two of the following can make reliable inferences about the third: 1) the level of granularity at which a speaker makes a generic causal claim, 2) the speaker’s decision-theoretic values, and 3) the data available to the speaker. We present results of three experiments in the domain of social categories (N=853) that provide evidence in keeping with these predictions.

Tell Me Your (Cognitive) Budget, and I’ll Tell You What You Value: Evidential Relationships Between Values, Data, and Generic Causal Claims about the Social World

Positive emotional responses triggered by pleasant experiences can aid memorization ability in humans. However, little is known about the effect of aesthetically pleasing experiences on linguistic memory. To experimentally investigate whether aesthetic appeal promotes word memorability, study participants rated a set of artificial words on their aesthetic appeal and were asked to actively memorize them. In line with the predictions, higher-rated words were significantly likelier to be recollected and, interestingly, tended to contain similar patterns of phonemes. This suggests that phonemes contain an inherent aesthetic value and that linguistic memorization is aided by the presence of such aesthetically appealing sound patterns. This encourages further exploration of the effect of aesthetic perception on linguistic processing and allows for more objective approaches to assessing languages’ general appeal. Additionally, the results might have implications for the marketing industry where they allow for more efficient marketing strategies directly affecting their audience’s memory.

The effect of aesthetic appeal on words' memorability

The present research explored the development of prediction systems in 24- and 30-month-old toddlers in a visual world paradigm. Participants heard a sentence including correction (“no”) or conjunction (“and”) while seeing an array of pictures with an associatively related noun (“cat”) and the erroneous noun (“dog”). The young group showed an early prediction of the associative picture in both types of sentences, while the older group showed an early prediction of the coordination condition, but a later prediction in the correction sentences. Our results suggest that older toddlers deployed different predictive systems, while the younger group used the same system.

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Degree of learning of an artificial grammar correlates with differential fMRI activation of Broca's area

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