scholarly journals Improving human collective decision-making through animal and artificial intelligence

2021 ◽  
Vol 1 ◽  
Author(s):  
Cédric Sueur ◽  
Christophe Bousquet ◽  
Romain Espinosa ◽  
Jean-Louis Deneubourg
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Collective Decision ◽  
Collective Decision Making

scholarly journals Towards Trust, Transparency and Liability in AI / AS systems

2017 ◽  
Author(s):  
Eva Thelisson
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Autonomous Systems ◽  
Research Problem ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Global Level ◽  
Governance Mechanisms ◽  
Decision Making Processes ◽  
Artificial Intelligence Systems

The research problem being investigated in this article is how to develop governance mechanisms and collective decision-making processes at a global level for Artificial Intelligence systems (AI) and Autonomous systems (AS), which would enhance confidence in AI and AS.

scholarly journals Borda Count in Collective Decision Making: A Summary of Recent Results

2019 ◽  
Vol 33 ◽  
pp. 9830-9836
Author(s):  
Jörg Rothe
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Strategic Behavior ◽  
Collective Decision ◽  
Borda Count ◽  
Collective Decision Making ◽  
Computational Social Choice ◽  
Indivisible Goods ◽  
Voting Rules ◽  
Ordinal Preferences

Borda Count is one of the earliest and most important voting rules. Going far beyond voting, we summarize recent advances related to Borda in computational social choice and, more generally, in collective decision making. We first present a variety of well known attacks modeling strategic behavior in voting—including manipulation, control, and bribery—and discuss how resistant Borda is to them in terms of computational complexity. We then describe how Borda can be used to maximize social welfare when indivisible goods are to be allocated to agents with ordinal preferences. Finally, we illustrate the use of Borda in forming coalitions of players in a certain type of hedonic game. All these approaches are central to applications in artificial intelligence.

The Elements of Collective Decision Making

2012 ◽  
pp. 1-31
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Group Decision Making ◽  
Real World ◽  
Group Decision ◽  
Collaborative Work ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Decision Science ◽  
Computer Supported Collaborative Work

In this chapter, the concept of a reasoning community is introduced. The overarching motivation is to understand reasoning within groups in real world settings so that technologies can be designed to better support the process. Four phases of the process of reasoning by a community are discerned: engagement of participants, individual reasoning, group coalescing, and, ultimately, group decision making. A reasoning community is contrasted with communities of practice and juxtaposed against concepts in related endeavours including computer supported collaborative work, decision science, and artificial intelligence.

Nonmanipulable Collective Decision-Making for Games

2012 ◽  
pp. 67-81
Author(s):  
Rob LeGrand ◽  
Timothy Roden ◽  
Ron K. Cytron
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Collective Decision ◽  
The Other ◽  
Collective Decision Making ◽  
Game Development ◽  
New Approach ◽  
Collective Decisions ◽  
Higher Dimensional ◽  
Game Players

This chapter explores a new approach that may be used in game development to help human players and/or non-player characters make collective decisions. The chapter describes how previous work can be applied to allow game players to form a consensus from a simple range of possible outcomes in such a way that no player can manipulate it at the expense of the other players. Then, the text extends that result and shows how nonmanipulable consensus can be found in higher-dimensional outcome spaces. The results may be useful when developing artificial intelligence for non-player characters or constructing frameworks to aid cooperation among human players.

Accelerating AI

2012 ◽  
Author(s):  
John O. McGinnis
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
General Purpose ◽  
Machine Intelligence ◽  
Collective Decision ◽  
Government Support ◽  
Collective Decision Making ◽  
Process Data ◽  
The World ◽  
Future Policy

This chapter focuses on artificial intelligence (AI). The development of machine intelligence can directly improve governance, because progress in AI can help in assessing policy consequences. More substantial machine intelligence can process data, generate hypotheses about the effects of past policy, and simulate the world to predict the effects of future policy. Thus, it is more important to formulate a correct policy toward AI than toward any other rapidly advancing technology, because that policy will help advance beneficial policies in all other areas. The holy grail of AI is so-called strong AI, defined as a general purpose intelligence that approximates that of humans. The correct policy for AI—substantial government support for Friendly AI—both promotes AI as an instrument of collective decision making and helps prevent the risk of machine takeover.

Islands of Stability: Engaging Emergence from Cellular Automata to the Occupy Movement

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Andrew Pickering
Keyword(s):  
Decision Making ◽  
Cellular Automata ◽  
Black Box ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Occupy Movement ◽  
History Of ◽  
The 1960S

"Instead of considering »being with« in terms of non-problematic, machine-like places, where reliable entities assemble in stable relationships, STS conjures up a world where the achievement of chancy stabilisations and synchronisations is local.We have to analyse how and where a certain regularity and predictability in the intersection of scientists and their instruments, say, or of human individuals and groups, is produced.The paper reviews models of emergence drawn from the history of cybernetics—the canonical »black box,« homeostats, and cellular automata—to enrich our imagination of the stabilisation process, and discusses the concept of »variety« as a way of clarifying its difficulty, with the antiuniversities of the 1960s and the Occupy movement as examples. Failures of »being with« are expectable. In conclusion, the paper reviews approaches to collective decision-making that reduce variety without imposing a neoliberal hierarchy. "

Corruption and Anticorruption in Democratic Athens

2017 ◽  
Author(s):  
Claire Taylor
Keyword(s):  
Decision Making ◽  
Participatory Democracy ◽  
Collective Decision ◽  
Civic Culture ◽  
Collective Decision Making ◽  
Alexander The Great ◽  
Political Equality ◽  
Individual Judgment ◽  
Collective Judgment ◽  
Hidden Knowledge

The chapter examines a major corruption scandal that involved the Athenian orator Demosthenes and an official of Alexander the Great. This episode reveals how tensions between individual and collective decision-making practices shaped Athenian understandings of corruption and anticorruption. The various and multiple anticorruption measures of Athens sought to bring ‘hidden’ knowledge into the open and thereby remove information from the realm of individual judgment, placing it instead into the realm of collective judgment. The Athenian experience therefore suggests that participatory democracy, and a civic culture that fosters political equality rather than reliance on individual expertise, provides a key bulwark against corruption.

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