What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

When contexts are framed expansively, students are positioned as actively contributing to
larger conversations that extend across time, places, and people. A set of recent studies …

Practical experiments drive important scientific discoveries in biology, but theory‐based
research studies also contribute novel—sometimes paradigm‐changing—findings. Here, we …

As the previous chapter indicates, there has been a significant shift in advanced economies
from manufacturing to information and knowledge services. Knowledge itself is growing ever …

Current literature, aiming to surpass the" Chain-of-Thought" approach, often resorts to an
external modus operandi involving halting, modifying, and then resuming the generation …

Learning from examples is a very effective means of initial cognitive skill acquisition. There
is an enormous body of research on the specifics of this learning method. This article …

New York Times bestselling author Sam Harris's first book, The End of Faith, ignited a
worldwide debate about the validity of religion. In the aftermath, Harris discovered that most …

What does it mean for a past event to be precedent for a current deci-sion? And how does
something we do today establish a precedent for the future? Can decisions really be …

Text World Theory is a cognitive model of all human discourse processing. In this
introductory textbook, Joanna Gavins sets out a usable framework for understanding mental …

Reasoning about processes of change, causes, consequences, similarities, and differences
in historical phenomena and periods helps students to give meaning to the past. This …