Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bortoletto, Matteo"'
We propose MToMnet - a Theory of Mind (ToM) neural network for predicting beliefs and their dynamics during human social interactions from multimodal input. ToM is key for effective nonverbal human communication and collaboration, yet, existing metho
Externí odkaz:
http://arxiv.org/abs/2407.06762
While numerous works have assessed the generative performance of language models (LMs) on tasks requiring Theory of Mind reasoning, research into the models' internal representation of mental states remains limited. Recent work has used probing to de
Externí odkaz:
http://arxiv.org/abs/2406.17513
We introduce the Overcooked Generalisation Challenge (OGC) - the first benchmark to study agents' zero-shot cooperation abilities when faced with novel partners and levels in the Overcooked-AI environment. This perspective starkly contrasts a large b
Externí odkaz:
http://arxiv.org/abs/2406.17949
Recent work on dialogue-based collaborative plan acquisition (CPA) has suggested that Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with asymmetric skill-sets and knowledge. Although ToM was claimed to be importa
Externí odkaz:
http://arxiv.org/abs/2405.12621
We propose the Intuitive Reasoning Network (IRENE) - a novel neural model for intuitive psychological reasoning about agents' goals, preferences, and actions that can generalise previous experiences to new situations. IRENE combines a graph neural ne
Externí odkaz:
http://arxiv.org/abs/2312.07122
Analysing and modelling interactive behaviour is an important topic in human-computer interaction (HCI) and a key requirement for the development of intelligent interactive systems. Interactive behaviour has a sequential (actions happen one after ano
Externí odkaz:
http://arxiv.org/abs/2303.16039
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
We present a novel method for deep image saliency prediction that leverages a cognitive model of visual attention as an inductive bias. This is in stark contrast to recent purely data-driven models that have achieved performance improvements mainly b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::0f2783da03e3c6f6dce1f4f90dceef41
https://escholarship.org/uc/item/5968p71m
https://escholarship.org/uc/item/5968p71m