Route selection by a jumping spider (Portia labiata) during the locomotory phase of a detour

Tarsitano, Michael S.

doi:10.1016/j.anbehav.2006.05.007

Cited by 63 publications

(44 citation statements)

References 29 publications

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“…They inspected the images from different distances and even touched the screens. This observation is coherent with the idea of a 'visual inspection' as Cross and Jackson (2016) proposed and as described in some Spartanae species prior to engaging in detour behaviors (Tarsitano, 2006;Tarsitano & Andrew, 1999;Tarsitano & Jackson, 1997). We think that this active and prolonged scanning behavior is fundamental for the process of learning novel visual stimuli, as well as in novel detours.…”

Section: Discussionsupporting

confidence: 75%

“…They display interesting behaviors that likely depend on highly flexible and complex cognitive abilities (Herberstein, 2011). For example, spiders of the genus Portia seem able to retain in their memory the position of prey in the environment (Tarsitano, 2006;Tarsitano & Andrew, 1999;Tarsitano & Jackson, 1997) and even modify their behavior when facing unexpected scenarios, as if they held expectations about certain events (Cross & Jackson, 2014).…”

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confidence: 99%

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Visual Discrimination Learning in the Jumping Spider Phidippus regius

Agrò¹,

Regolin²,

Moretto³

2017

ABC

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Section: Discussionsupporting

confidence: 75%

mentioning

confidence: 99%

Visual Discrimination Learning in the Jumping Spider Phidippus regius

Agrò¹,

Regolin²,

Moretto³

2017

ABC

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“…For some species in some environments, neither evolution nor prior learning can provide a solution for every situation. There is strong evidence that at least one species of spider can plan a new route in advance of following it -the portia spider works out a route to its prey then follows it even when it can no longer see the prey, making detours if necessary and avoiding branches that would not lead to the prey [50]. 10 For humans, tasks such as building shelters, tracking down prey, weaving cloth, attacking enemies, preparing defences against attack, designing and building weapons to help with hunting or warfare, and in recent times building many kinds of vehicles, buildings, and machines for making machines, all extend information processing requirements -specifically requirements concerned with representing and choosing between future possible actions and products.…”

Section: The Failure To Identify Deliberative and Metacognitive Requimentioning

confidence: 99%

Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress

Sloman

2009

Lecture Notes in Computer Science

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Some issues concerning requirements for architectures, mechanisms, ontologies and forms of representation in intelligent human-like or animal-like robots are discussed. The tautology that a robot that acts and perceives in the world must be embodied is often combined with false premises, such as the premiss that a particular type of body is a requirement for intelligence, or for human intelligence, or the premiss that all cognition is concerned with sensorimotor interactions, or the premiss that all cognition is implemented in dynamical systems closely coupled with sensors and effectors. It is time to step back and ask what robotic research in the past decade has been ignoring. I shall try to identify some major research gaps by a combination of assembling requirements that have been largely ignored and design ideas that have not been investigated -partly because at present it is too difficult to make significant progress on those problems with physical robots, as too many different problems need to be solved simultaneously. In particular, the importance of studying some abstract features of the environment about which the animal or robot has to learn (extending ideas of J.J.Gibson) has not been widely appreciated.

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“…Such deliberative processes in humans, and in some other animals 6 (Mulcahy & Call, 2006;Tarsitano, 2006;Werdenich & Huber, 2006;Wilcox & Jackson, 2002), are typically performed in an internally constructed virtual reality. Such deliberative information processing and decision-making allows an agent to function more flexibly within a complicated niche in a complex, dynamic environment.…”

Section: Action Selection/decision Making In Lidamentioning

confidence: 99%