In this chapter an analysis of the behavior of an arbitrary (perhaps massive) collective of computational processes in terms of an associated “world” utility function is presented We concentrate on the situation where each process in the collective can be viewed as though it were striving to maximize its own private utility function. For such situations the central design issue is how to initia...

Title of Thesis: SWARM INTELLIGENCE AND STIGMERGY: ROBOTIC IMPLEMENTATION OF FORAGING BEHAVIOR. Mark Russell Edelen.Help Working with Abstracts. This paper gives a broad overview of swarm intelligence in three parts: biological basis, artificial literature and swarm engineering.Engineers Australia members or students. ABSTRACT: This talk provides an introduction to Swarm Intelligence SI, a disc...

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The growth of social media provides a convenient communication scheme for people, but at the same time it becomes a hotbed of misinformation. The wide spread of misinformation over social media is injurious to public interest. We design a framework, which integrates collective intelligence and machine intelligence, to help identify misinformation. The basic idea is: (1) automatically index the ...

We develop the idea of collective intelligence by analysing a range of factors hindering the effectiveness of interactive cognitive agents. We give insights into how to explore the potential of collectives across different cognitive systems (human, animal and machine) and research areas. The endeavour is to bridge the different research disciplines in which collective intelligence might occur a...

Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive vices (i.e., shortcomings, limitations, constraints and biases) are seen to play a positive functional role in yielding collective forms of cognitive success. The present paper introduces the concept of mandevillian intelligence and reviews a number of strands of empirical research that help to...

As pervasive computing is becoming more pervasive and new ways to collaborate are emerging, humans and algorithms are cocreating “Collective intelligence”. Moreover, human can deliver at points where automatic machine learning algorithms fail. In the light of this context, the need for new tools and techniques is becoming apparent to harness the collective intelligence more effectively. In this...

The huge multiplicity of equilibria given by the folk theorem motivates an obvious question: whywould players “deliberately” select on equilibria with bad outcomes if “better” equilibria are available? A simple answer to this is that individual rationality (along with the common knowledge of the game and strategic beliefs) does not take us further than equilibrium behavior. In particular, it do...

This article provides evidence for a link between cultural collectivism and indexes of governmentally initiated restriction both across nations and within one nation, both cross-sectionally and longitudinally. In Investigation 1, across U.S. states, an index of legislative restriction is positively related to an index of collective behaviors. In Investigation 2, across nations, an index of poli...