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   Mulkherjee, K; Suresh, S; Yu, X; Lupyan, G (October 2024, The Evolution of Language: Proceedings of the 15th International Conference (Evolang XV))

   Nölle, J; Raviv, L; Graham, E; Hartmann, S; Jadoul, Y; Josserand, M; Matzinger, T; Mudd, K; Pleyer, M; Slonimska, A (Ed.)

   Successful communication is thought to require members of a speech community to learn common mappings between words and their referents. But if one person’s concept of CAR is very different from another person’s, successful communication might fail despite the common mappings because different people would mean different things by the same word. Here we investigate the possibility that one source of representational alignment is language itself. We report a series of neural network simulations investigating how representational alignment changes as a function of agents having more or less similar visual experiences (overlap in “visual diet”) and how it changes with exposure to category names. We find that agents with more similar visual experiences have greater representational overlap. However, the presence of category labels not only increases representational overlap, but also greatly reduces the importance of having similar visual experiences. The results suggest that ensuring representational alignment may be one of language’s evolved functions. 

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   https://doi.org/10.1145/3173574.3173575  

   Das, Sauvik; Lo, Joanne; Dabbish, Laura; Hong, Jason I. (April 2018, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems)

   News coverage of security and privacy (S&P) events is pervasive and may affect the salience of S&P threats to the public. To better understand this coverage and its effects, we asked: What types of S&P news come into people's awareness? How do people hear about and share this news? Over two years, we recruited 1999 participants to fill out a survey on emergent S&P news events. We identified four types of S&P news: financial data breaches, corporate personal data breaches, high sensitivity systems breaches, and politicized / activist cybersecurity. These event types strongly correlated with how people shared S&P news-e.g., financial data breaches were shared most (42%), while politicized / activist cybersecurity events were shared least (21%). Furthermore, participants' age, gender and security behavioral intention strongly correlated with how they heard about and shared S&P news-e.g., males more often felt a personal responsibility to share, and older people were less likely to hear about S&P news through conversation. 

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3. Optimal investment and management of shared bikes in a competitive market

   https://doi.org/10.1016/j.trb.2020.03.007  

   Jiang, Zhoutong; Lei, Chao; Ouyang, Yanfeng (May 2020, Transportation Research Part B: Methodological)
4. A case study of a shared/buy-in computing ecosystem

   https://doi.org/10.1007/s10586-018-2256-2  

   Liao, Christopher; Klausner, Yonatan; Starobinski, David; Simhon, Eran; Bestavros, Azer (September 2018, Cluster Computing)
5. Systemic coherence through a shared vision of mathematics instruction.

   Wilson, P. (April 2022, Proceedings of the 49th Annual Meeting of the Research Council on Mathematics Learning)

   Bateiha, S. and (Ed.)