Submission 283
Pragmatic Inference Without Words? Evaluating RSA in Great Ape Communication
SymposiumTalk-02
Presented by: Marlen Fröhlich
Studies of meaning in human and primate communication face, in principle, similar methodological challenges. In both cases, meaning is not directly observable but must be inferred from indirect sources, such as observable behaviour. Recent work building on the Rational Speech Act (RSA) framework has developed methods for inferring latent semantic meaning through probabilistic models of language use. Here, we explore how such an approach can be adapted for the study of primate communication. To this end, we developed a bespoke probabilistic model of the processes that generate communicative behaviour, using functionally specified latent meaning representations. As a proof of concept, we applied this novel Lexical Association Model (LAM) to a richly annotated dataset of dyadic communicative interactions (>8,000 communicative acts) observed in wild and captive orangutans (Pongo abelii and P. pygmaeus). Specifically, we inferred the latent meaning of gestures by integrating observations of the signal (the gesture itself), the state (the presumed social goal), and the recipient’s response (the outcome). Our preliminary results indicate that latent signal meanings vary with social relationship (e.g., mother–offspring vs. others) and research setting (wild vs. captive). A critical next step will be to extend this model to multimodal communication, including vocalisations and facial expressions. We conclude that explicit probabilistic modelling can provide valuable insights into animal communication, particularly regarding the context-dependent nature of signals and the gradual evolution of human communication systems.