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Open AccessJournal ArticleDOI

Exploration versus exploitation in space, mind, and society

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TLDR
In summary, search represents a core feature of cognition, with a vast influence on its evolution and processes across contexts and requiring input from multiple domains to understand its implications and scope.
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This article is published in Trends in Cognitive Sciences.The article was published on 2015-01-01 and is currently open access. It has received 370 citations till now.

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Journal ArticleDOI

T cell migration, search strategies and mechanisms

TL;DR: In particular, insights from 'search theory' can be used to describe T cell movement across an 'exploitation–exploration trade-off' in the context of activation versus effector function and lymph nodes versus peripheral tissues.
Journal ArticleDOI

Unpacking the exploration–exploitation tradeoff: A synthesis of human and animal literatures.

TL;DR: In this article, the authors explore how potential tradeoffs depend on the conceptualization of exploration and exploitation, the influencing environmental, social, and individual factors, the scale at which exploration and exploit are considered, the relationship and types of transitions between the two behaviors, and the goals of the decision maker.
Journal ArticleDOI

Behavioural and neural characterization of optimistic reinforcement learning

TL;DR: In this article, a simple instrumental learning task, participants incorporated better than expected outcomes at a higher rate than worse than worse-than-expected ones, and functional imaging indicated that inter-individual difference in the expression of optimistic update corresponds to enhanced prediction error signalling in the reward circuitry.

Swarm Intelligence From Natural To Artificial Systems

TL;DR: Swarm intelligence from natural to artificial systems, where people have search hundreds of times for their chosen books, but end up in malicious downloads instead of reading a good book with a cup of coffee in the afternoon.
References
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Book

Reinforcement Learning: An Introduction

TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Journal ArticleDOI

Exploration and Exploitation in Organizational Learning

TL;DR: In this paper, the authors consider the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning and examine some complications in allocating resources between the two, particularly those introduced by the distribution of costs and benefits across time and space.
Journal ArticleDOI

A feature-integration theory of attention

TL;DR: A new hypothesis about the role of focused attention is proposed, which offers a new set of criteria for distinguishing separable from integral features and a new rationale for predicting which tasks will show attention limits and which will not.
Book

The Theory of Communicative Action

TL;DR: In this article, an apex seal for a rotary combustion engine is disclosed having a hollow, thin wall, tubular, metal core member embedded in an extruded composite metal-carbon matrix, adapted to slideably engage the slot of the rotor in which it rides and sealingly engage the rotor housing against which it is spring and gas pressure biased.
BookDOI

Swarm intelligence: from natural to artificial systems

TL;DR: This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.
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