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Compared to similarly sized fish, mammals and birds typically have brain sizes fifteen times larger, though some species of fish such as elephantnose fish have very large brain-to-body ratios. However, fish still display intelligence that cannot be explained through Pavlovian and operant conditioning, such as reversal learning, novel obstacle ...
Fish stocks indicators, which is normalized as a 0–100 proximity-to-target score, with 100 representing "at target" and 0 being furthest from the target. Stock assessments provide fisheries managers with the information that is used in the regulation of a fish stock. Biological and fisheries data are collected in a stock assessment.
The scope of cephalopod intelligence and learning capability is controversial within the biological community, complicated by the inherent complexity of quantifying non-vertebrate intelligence. In spite of this, the existence of impressive spatial learning capacity, navigational abilities, and predatory techniques in cephalopods is widely ...
Download as PDF; Printable version; In other projects ... Template documentation. This is a group of templates which aim to provide a skeleton structure for new ...
Fish School Search (FSS), proposed by Bastos Filho and Lima Neto in 2008 is, in its basic version, [1] a unimodal optimization algorithm inspired by the collective behavior of fish schools. The mechanisms of feeding and coordinated movement were used as inspiration to create the search operators.
Template: IUCN fish chart. ... Download QR code; Print/export Download as PDF; Printable version; ... This template accepts no arguments, and produces the chart and ...
UK intelligence assessments use the PHIA "probability yardstick" for communicating probability: The National Intelligence Council's recommendations described the use of a WEP paradigm (table 2) in combination with an assessment of confidence levels ("high, moderate, low") based on the scope and quality supporting information:
Socioeconomics – A word used to identify the importance of factors other than biology in fishery management decisions. For example, if management results in more fishing income, it is important to know how the income is distributed between small and large boats or part-time and full-time fishermen.