Cognitive Search: Evolution, Algorithms, and the Brain by Peter M. Todd, Visit Amazon's Thomas T. Hills Page, search

By Peter M. Todd, Visit Amazon's Thomas T. Hills Page, search results, Learn about Author Central, Thomas T. Hills, , Trevor W. Robbins

Over a century in the past, William James proposed that folks seek via reminiscence a lot as they rummage via a home trying to find misplaced keys. We scour our environments for territory, foodstuff, associates, and knowledge. We look for goods in visible scenes, for ancient evidence, and for the simplest bargains on websites; we look for new buddies so as to add to our social networks, and for ideas to novel difficulties. What we discover is usually ruled through how we seek and by way of the constitution of our surroundings. This ebook explores how we look for assets in our minds and on this planet. The authors learn the evolution and adaptive services of seek; the neural underpinnings of goal-searching mechanisms throughout species; mental versions of seek in reminiscence, determination making, and visible scenes; and purposes of seek habit in hugely advanced environments resembling the net. because the diversity of knowledge, social contacts, and items maintains to extend, how good we can seek and effectively locate what we search turns into more and more very important. even as, seek bargains cross-disciplinary insights to the clinical research of human cognition and its evolution. Combining views from researchers throughout quite a few domain names, this booklet furthers our knowing of the connection among seek and the human brain.

Show description

Read Online or Download Cognitive Search: Evolution, Algorithms, and the Brain PDF

Similar cognitive books

Eliciting and Analyzing Expert Judgment: A Practical Guide (ASA-SIAM Series on Statistics and Applied Probability)

Specialist judgment is worthy for assessing items, platforms, and occasions for which measurements or try out effects are sparse or nonexistent. Eliciting and examining professional Judgment: a pragmatic consultant takes the reader step-by-step throughout the innovations of eliciting and reading professional judgment, with particular awareness given to aiding the reader increase elicitation tools and instruments adaptable to a number of particular events and paintings components.

Relevance: Communication and Cognition

Relevance, first released in 1986, used to be named as some of the most very important and influential books of the last decade within the occasions larger academic complement. This revised version features a new Preface outlining advancements in Relevance thought for the reason that 1986, discussing the more severe criticisms of the speculation, and envisaging attainable revisions or extensions.

The Evolution of Intelligence

How is one to appreciate the character of intelligence? One process is thru psychometric trying out, yet such an technique frequently places the "cart ahead of the horse"--the try out sooner than the speculation. one other method is to take advantage of evolutionary concept. This criterion has been urged by means of a few members some time past, from Charles Darwin within the extra far-off previous to Howard Gardner, Stephen Gould, Steven Pinker, Carl Sagan, David Stenhouse, and so on.

Making a Machine That Sees Like Us

Creating a computer That Sees Like Us explains why and the way our visible perceptions grants us with a correct illustration of the exterior global. alongside the way in which, it tells the tale of a computer (a computational version) outfitted through the authors that solves the computationally tricky challenge of seeing the best way people do.

Additional info for Cognitive Search: Evolution, Algorithms, and the Brain

Example text

1. X-axis values represent turning angles (negative = counterclockwise; positive = clockwise). Redrawn after Couzin (1999). increasingly platykurtic, tending toward a uniform distribution. Thus, there is typically some intermediate move-length that produces the most informative characterization of movement. Correlated Random Walk Models of Animal Search The pure random walk model, analogous to Brownian motion, is typically too simple to represent animal movement because it does not account for the correlation of an organism’s current direction with that of its previous direction (resulting from head-to-tail polarization).

First, it envisions an iterated rather than single-shot search, and this makes the handling time variable important. A long handling time increases the opportunity cost of accepting an item, because the time a forager spends handling is time it cannot spend searching for new items. Second, crudely speaking, the model predicts that environmental richness should determine a forager’s selectivity; this follows from the idea of iterated search and the opportunity costs of accepting an item with a long handling time.

2. 3. The environments in which organisms search both externally and internally share similar structural properties, and resources tend to be patchily distributed. Various search strategies often rely on this patchiness to focus search around areas where resources have been recently found, and thus to facilitate resource acquisition based on their nonrandom distribution. The neural mechanisms that control search—especially those involving dopamine, the prefrontal cortex, and the striatum—are often shared across species and search environments.

Download PDF sample

Rated 4.12 of 5 – based on 33 votes