scholarly journals Flexibility in Problem Solving and Tool Use of Kea and New Caledonian Crows in a Multi Access Box Paradigm

PLoS ONE ◽  
2011 ◽  
Vol 6 (6) ◽  
pp. e20231 ◽  
Author(s):  
Alice M. I. Auersperg ◽  
Auguste M. P. von Bayern ◽  
Gyula K. Gajdon ◽  
Ludwig Huber ◽  
Alex Kacelnik
2004 ◽  
Vol 67 (2) ◽  
pp. 327-332 ◽  
Author(s):  
Robb Rutledge ◽  
Gavin R Hunt

2010 ◽  
Vol 277 (1686) ◽  
pp. 1377-1385 ◽  
Author(s):  
Lucas A. Bluff ◽  
Jolyon Troscianko ◽  
Alex A. S. Weir ◽  
Alex Kacelnik ◽  
Christian Rutz

2009 ◽  
Vol 13 (3) ◽  
pp. 507-513 ◽  
Author(s):  
Michael J. Kuba ◽  
Ruth A. Byrne ◽  
Gordon M. Burghardt
Keyword(s):  
Tool Use ◽  

2020 ◽  
Vol 287 (1938) ◽  
pp. 20201490
Author(s):  
M. Boeckle ◽  
M. Schiestl ◽  
A. Frohnwieser ◽  
R. Gruber ◽  
R. Miller ◽  
...  

The ability to plan for future events is one of the defining features of human intelligence. Whether non-human animals can plan for specific future situations remains contentious: despite a sustained research effort over the last two decades, there is still no consensus on this question. Here, we show that New Caledonian crows can use tools to plan for specific future events. Crows learned a temporal sequence where they were (a) shown a baited apparatus, (b) 5 min later given a choice of five objects and (c) 10 min later given access to the apparatus. At test, these crows were presented with one of two tool–apparatus combinations. For each combination, the crows chose the right tool for the right future task, while ignoring previously useful tools and a low-value food item. This study establishes that planning for specific future tool use can evolve via convergent evolution, given that corvids and humans shared a common ancestor over 300 million years ago, and offers a route to mapping the planning capacities of animals.


2019 ◽  
Author(s):  
Rachael Miller ◽  
Romana Gruber ◽  
Anna Frohnwieser ◽  
Martina Schiestl ◽  
Sarah A. Jelbert ◽  
...  

AbstractThe ability to make profitable decisions in natural foraging contexts may be influenced by an additional requirement of tool-use, due to increased levels of relational complexity and additional work-effort imposed by tool-use, compared with simply choosing between an immediate and delayed food item. We examined the flexibility for making the most profitable decisions in a multi-dimensional tool-use task, involving different apparatuses, tools and rewards of varying quality, in 3-5-year-old children, adult humans and tool-making New Caledonian crows (Corvus moneduloides). We also compared our results to previous studies on habitually tool-making orangutans (Pongo abelii) and non-tool-making Goffin’s cockatoos (Cacatua goffiniana). Adult humans, cockatoos and crows, though not children and orangutans, did not select a tool when it was not necessary, which was the more profitable choice in this situation. Adult humans, orangutans and cockatoos, though not crows and children, were able to refrain from selecting non-functional tools. By contrast, the birds, though not primates tested, struggled to attend to multiple variables - where two apparatuses, two tools and two reward qualities were presented simultaneously - without extended experience. These findings indicate: (1) in a similar manner to humans and orangutans, New Caledonian crows and Goffin’s cockatoos can flexibly make profitable decisions in some decision-making tool-use tasks, though the birds may struggle when tasks become more complex; (2) children and orangutans may have a bias to use tools in situations where adults and other tool-making species do not.


2020 ◽  
Vol 7 ◽  
Author(s):  
Lakshmi Nair ◽  
Sonia Chernova

Robots in the real world should be able to adapt to unforeseen circumstances. Particularly in the context of tool use, robots may not have access to the tools they need for completing a task. In this paper, we focus on the problem of tool construction in the context of task planning. We seek to enable robots to construct replacements for missing tools using available objects, in order to complete the given task. We introduce the Feature Guided Search (FGS) algorithm that enables the application of existing heuristic search approaches in the context of task planning, to perform tool construction efficiently. FGS accounts for physical attributes of objects (e.g., shape, material) during the search for a valid task plan. Our results demonstrate that FGS significantly reduces the search effort over standard heuristic search approaches by ≈93% for tool construction.


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