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Past work has found that dogs perceive and respond to certain characteristics of items, specifically the object&#39;s familiarity and value when making choices. However, in the real world, these characteristics don&#39;t exist in isolation, and understanding the interaction between familiarity and valuation as they relate to object choice can provide insight into how dogs make decisions. We aimed to explore how item familiarity and value intersect to form dogs’ preferences for one food over another in a two-alternative forced choice task. We found that dogs choices were driven only by the value of the food item, and the familiarity of the item did not impact choice behavior. Determining what motivates dogs and contributes to their preferences has implications for understanding decision-making at large, as well as for advancing canine science.


CogSci 2023

The Impact of Value and Familiarity on Dogs&#39; Food Preferences

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**Dear Colleagues,**

Welcome to the 43rd Annual Conference of the Cognitive Science Society! 

This year’s conference brings together the latest research from all Cognitive Science and also highlights this year’s theme **Comparative Cognition: Animal Minds.** 

The program features four plenary speakers: Friederike Range (University of Veterinary Medicine, Vienna), Onur Güntürkün (Ruhr University Bochum), Julia Fischer (University of Göttingen), and Erich Jarvis (The Rockefeller University). The keynotes and invited symposia showcase the broad spectrum of ideas that encompass the conference theme of comparative cognition. 

Further, the program includes the Rumelhart Prize keynote presentation by Susan Goldin-Meadow (University of Chicago), and symposia to celebrate the winner of the Elman Prize: Wei Ji Ma (New York University), the Heineken Award winner Robert Zatorre (McGill University), and the Robert J. Glushko Dissertation Prizes session.

The program committee for CogSci 2021 received 1,025 submissions, including 710 full papers, 275 member abstracts, 8 publication-based talks, as well as 15 proposals for symposia, and 17 for workshops and tutorials. After a rigorous review process, the committee selected 152 papers for oral presentation and inclusion in the conference proceedings (14.8%), 332 papers for poster presentation and inclusion in the proceedings (32.4%), and 175 papers for poster presentation with inclusion of abstracts in the proceedings (17.1%) We also selected 275 submitted member abstracts. In addition, we accepted 6 publication-based talks, 12 symposia, and 9 workshops and tutorials to make for an exciting and inclusive program.

We hope that you enjoy the conference this year!<br><br>

**Your Program Chairs,**
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**Learn more about the Vienna Cognitive Science Hub at the University of Vienna, hosts of CogSci 2021**

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To review the proceedings for the conference or review the searchable program, please visit the [website](https://cognitivesciencesociety.org/program/).


CogSci 2021

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. The Society is a non-profit professional organization and its activities include sponsoring an annual conference and publishing the journals Cognitive Science and TopiCS.

Past work has found that dogs perceive and respond to certain characteristics of items, specifically the object's familiarity and value when making choices. However, in the real world, these characteristics don't exist in isolation, and understanding the interaction between familiarity and valuation as they relate to object choice can provide insight into how dogs make decisions. We aimed to explore how item familiarity and value intersect to form dogs’ preferences for one food over another in a two-alternative forced choice task. We found that dogs choices were driven only by the value of the food item, and the familiarity of the item did not impact choice behavior. Determining what motivates dogs and contributes to their preferences has implications for understanding decision-making at large, as well as for advancing canine science.


The Impact of Value and Familiarity on Dogs' Food Preferences

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

In humans, simple 2D visual displays of launching events (“Michottean launches”) can evoke the impression of causality. Direct launching events are regarded as causal, which are contrasted with similar non-causal events where a temporal and/or spatial gap is added between the movements of the two objects. This ability to distinguish between causal and non-causal events is perceptual in nature and develops early and preverbally in infancy. In the present study we investigated the evolutionary origins of this phenomenon and tested whether Guinea baboons (Papio papio) perceive causality in launching events. We used a discrimination and categorisation task of causal and non-causal events. Our results indicate that Guinea baboons discriminate between different Michottean events, but we did not find a learning advantage for a categorisation based on causality. This implies that they focused on the spatio- and temporal gap to achieve accurate categorisation, but not on causality per se. Currently we cannot rule out that Guinea baboons have causal representations of Michottean events, but our findings point to a feature-based discrimination strategy in a sorting task.


Causal perception in Guinea Baboons (Papio papio)

Philosophy drawing on studies of animal behavior has paved a middle-way path regarding natural and non-natural meaning (Bar-On, 2021; Bar-On & Moore, 2017; Green, 2019; Moore, 2018). Elaborating the question of communicative intention goes hand-in-hand with growing appreciation of the reaches of non-human animal mindedness (Andrews & Beck, 2018; Merritt, 2021), pushing the plausible bounds of higher-order cognitive capacities beyond the singular province of homo sapiens. The question of relating human languaging to non-human languaging is enriched through a dialogue between enactive philosophy of social cognition and post-Gricean discourse. Speaker meaning presupposes coherent, stable, individual, internal, and prior intention as a cognitive or mental state. The enactive theory of social cognition, participatory sense-making (De Jaegher & Di Paolo, 2007), calls all of these premises into serious question. Prioritizing the role of interactions in cognition brings attention to the multitude of possible partners humans had and have in communication and sense-making engagements.


Intentions as interactional and interspecies achievements: enactivist contributions to language evolution

Comparative sequence learning experiments allow cognitive processes that are required for language in humans to be studied in nonhuman animals. We investigated Rhesus macaques’ ability to detect abstract regularities in visual sequences, and their capacity to generalize to novel stimuli. On each trial, two colors were randomly generated and arranged into three-element long sequences based on three rules (‘AAB’, ‘ABA’, ‘BAA’). Monkeys were able to learn the rules and select appropriate sequences of colored squares, and generalized this learning to the novel color combinations. To further assess generalization, we presented probe trials using sequences comprised of randomly generated white shapes. Monkeys showed no evidence of spontaneous generalization between stimulus categories. Our results demonstrate that monkeys are able to learn abstract rules governing visual sequences and that they generalize these to novel sequences within a stimulus category, but provides no evidence of generalization between stimulus categories.


Rhesus macaques generalize abstract rules within but not between stimulus categories

The present study explores moral judgment in COVID-19 dilemmas involving allocation of two types of resources – ventilators or beds. Utilitarian principles are opposed to random allocation and first-come, first-served. In triage dilemmas there are two patients in a critical state either needing a ventilator or a bed but only one is available. Participants also rated their agreement with a list of triage principles. Four clusters of participants are identified. The first has a uniform distribution of preferences over all principles; the second favors all utilitarian principles; the third - only one utilitarian principle (higher chances of recovery); and the fourth - the first-come, first-served principle. The results show different pattern of moral judgments depending on the type of the resource. If ventilators are allocated, the utilitarian principles are supported. If the limited resource is a bed, first-come, first-served is preferred thus casting doubt on the egalitarian nature of this principle.


Moral Judgments in COVID-19 Triage Dilemmas: Does the Type of Life-Saving Resource Matter?

Reddit's subforum ChangeMyView is a subreddit where users post about a specific view they hold and challenge other users to present arguments to change their view. Here, we investigated what distinguishes the most convincing participants on Reddit change my view (henceforth, top persuaders), as measured by the all-time deltaboard, from equally active users who are nonetheless less likely to persuade peoples on the forum. We investigated the most common features of top persuaders and compared them to their similarly active Reddit counterparts. We found that top persuaders were more likely to provide external evidence for their claims and use morality-based reasoning, made longer comments and engaged in more back-and-forth argumentation, were less likely to use informal language in their arguments, and were more likely to show some overlapping semantic content with an original poster's comment. Other content was comparatively less effective: including the use of causal language, and asking questions in an argument, among others. These findings replicate and expand on previously established effects and may highlight ways to develop more effective educational interventions.


Characteristics of persuasive deltaboard members on Reddit’s r/ChangeMyView

Although there is a great deal of interest in conditional prob-abilities in Bayesian cognitive science, there is still little understanding of how well human agents can learn them. In our study, subjects are confronted with a belief revision problem in which the new information concerns conditional probabilities. In our material, we distinguish between cases of vacuous learning, where the probabilistic information is not new, and belief revision is unwarranted, from conditions with truly new information that conflicts with the previous belief state. We investigate how well participants can distinguish these cases and how well they respect the probabilistic norm, thus adding new insights to the long-standing research question of the extent to which the human mind is adapted to probabilistic reasoning.


How Well Do Humans Learn Conditional Probabilities?

Prediction, explanation, and control are basic cognitive tasks. Here we show how they can arise from unstructured exploration-based learning. We present a new method to analyze how people make use of mental models learned under free exploration. Our method allows us to control for the relative difficulty of the task, and to measure the extent to which participants can leverage the evidence provided by the mental model---however strong or weak---for decision-making. The key result of our subsequent experimental work is that free exploration leads, in simple cases, to far better performance on prediction and control compared to explanation. As systems become more complex, performance declines, but people can sustain relatively better performance on control. In the presence of hidden variables, explanatory abilities rise relative to the other two, even though the task is harder.


Prediction, Explanation, and Control Under Free Exploration

We explore intervention policies chosen by participants when learning about causal structures in continuous systems. We used the continuous time and state space formalism of Ornstein-Uhlenbeck networks (Davis et al., 2020b). We find that participants' interventions can be understood as compositions of two basic actions: swipes, large movements generating large changes in values in a short time window, and holds, fixing variables for a few frames and observing the outcome. We further show that intervention policies depend on the underlying causal structure that participants are attempting to retrieve. Swipes were performed more often when there was no outgoing link, suggesting that rapid successive movements was useful in validating the absence of causal relations. On the other hand, interventions featuring longer holding times were favoured in cases where there was at least one outgoing link from the intervened node and appeared to serve the purpose of establishing the sign and strength of causal relationships. Overall, these findings indicate that causal inference in continuous contexts appears to be a two step process, where participants use different interventions for causal discovery than they do to qualify the nature of discovered links, hinting at a tendency to decompose inference to simplify it.

Swipe and hold: composing interventions in continuous time causal learning

Recent work suggests that decisions to detain defendants before trial increase the likelihood of conviction. One reason may be that knowledge of detainment makes jurors more likely to convict. Previous work has claimed this as an example of ‘bounded rationality’ i.e., due to a simple bias. We argue that this inference represents sophisticated causal reasoning e.g. about information hidden from jurors such as criminal history. We examine whether the effect of detainment knowledge on conviction depends on rational inference by presenting participants with a legal vignette in a 2x2 design: a defendant either has or has not been detained, and this detainment decision is either (1) not explained or (2) explained as due to an iron clad rule always used for this class of crimes. We find an effect of detainment when it is not explained, but no effect when explained, providing evidence against the ‘bounded rationality’ view. We provide qualitative extracts of participants’ reasoning, demonstrating sophisticated and nuanced inferences from detainment to hidden information when the decision is not explained.

How does knowledge of detainment affect juror reasoning?

The intentional binding (IB) phenomenon reflects a perceived attraction between a voluntary action and an intended consequence. Recent research has shown that during IB, intended outcomes expand in time. Although, this effect was significant only for shorter action-outcome delays. However, literature on IB suggests it can also exist for long delays. To address this, we implemented a temporal reproduction task to observe the expansion of an intended outcome. Results revealed the expansion of an intended outcome in the shorter and longer action-outcome delays. These results were discussed under the PIDI (proximal intent distal intent) framework since, using this methodology, both types of intention can be operationalized. Proximal for shorter delays under the motor action, and distal for longer delays as the inference made towards the objective duration to be reproduced. Our implementation allows a robust way to observe the temporal dynamics of an intended outcome, irrespective of the action-outcome delay.

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Causal perception in Guinea Baboons (Papio papio)

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