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Chimpanzees use observed temporal directionality to learn novel causal relations.

ABSTRACT: We investigated whether chimpanzees use the temporal sequence of external events to determine causation. Seventeen chimpanzees (Pan troglodytes) witnessed a human experimenter press a button in two different conditions. When she pressed the "causal button" the delivery of juice and a sound immediately followed (cause-then-effect). In contrast, she pressed the "non-causal button" only after the delivery of juice and sound (effect-then-cause). When given the opportunity to produce the desired juice delivery themselves, the chimpanzees preferentially pressed the causal button, i.e., the one that preceded the effect. Importantly, they did so in their first test trial and even though both buttons were equally associated with juice delivery. This outcome suggests that chimpanzees, like human children, do not rely solely on their own actions to make use of novel causal relations, but they can learn causal sequences based on observation alone. We discuss these findings in relation to the literature on causal inferences as well as associative learning.

SUBMITTER: Tennie C

PROVIDER: S-EPMC6858906 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Chimpanzees use observed temporal directionality to learn novel causal relations.

Tennie Claudio C Völter Christoph J CJ Vonau Victoria V Hanus Daniel D Call Josep J Tomasello Michael M

Primates; journal of primatology 20190923 6

We investigated whether chimpanzees use the temporal sequence of external events to determine causation. Seventeen chimpanzees (Pan troglodytes) witnessed a human experimenter press a button in two different conditions. When she pressed the "causal button" the delivery of juice and a sound immediately followed (cause-then-effect). In contrast, she pressed the "non-causal button" only after the delivery of juice and sound (effect-then-cause). When given the opportunity to produce the desired juic ...[more]

PMID: 31549268

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Project description:One of the prevailing approaches to the study of the global economy is the analysis of global city networks based on the activities of multinational firms. Research in this vein generally conceptualises cities as nodes, and the intra-firm relations between them as ties, forming the building blocks for globally scaled interurban networks. While such an approach has provided a valuable heuristic for understanding how cities are globally connected, and how the global economy can be conceived of as a network of cities, there is a lack of understanding as to how and why cities are connected, and which factors contribute to the existence of ties between cities. Here, we explain how five distinct socio-spatial dimensions contribute to global city network structure through their diverse effects on interurban dyads. Based on data from 13,583 multinational firms with 163,821 international subsidiary locations drawn from 208 global securities exchanges, we hypothesise how regional, linguistic, industrial, developmental, and command & control relations may contribute to network structure. We then test these by applying an exponential random graph model (ERGM) to explain how each dimension may contribute to cities' embeddedness within the overall network. Though all are shown to shape interurban relations to some extent, we find that two cities sharing a common industrial base are more likely to be connected. The ERGM also reveals a strong core-periphery structure in that cities in middle- and low-income countries are more reliant on connectivity than those in high-income countries. Our findings indicate that, despite claims seeking to de-emphasise the top-heavy organisational structure of the global urban economic network, interurban relations are characterised by uneven global development in which socio-spatial embeddedness manifests through a combination of similarity (homophily) and difference (heterophily) as determined by heterogeneous power relationships underlying global systems of production, exchange and consumption.

Dataset Information

Chimpanzees use observed temporal directionality to learn novel causal relations.

Publications

Chimpanzees use observed temporal directionality to learn novel causal relations.

Similar Datasets

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