Results 1 to 10 of about 313 (44)

Ethical Principles for Reasoning about Value Preferences [PDF]

open access: yes, 2023
To ensure alignment with human interests, AI must consider the preferences of stakeholders, which includes reasoning about values and norms. However, stakeholders may have different preferences, and dilemmas can arise concerning conflicting values or ...
Woodgate, Jessica
core   +2 more sources

Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation [PDF]

open access: yes, 2016
Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game stands out for its simplicity and applicability to a wide range of phenomena
Baronchelli, A.   +3 more
core   +2 more sources

PantheonRL: A MARL Library for Dynamic Training Interactions

open access: yes, 2021
We present PantheonRL, a multiagent reinforcement learning software package for dynamic training interactions such as round-robin, adaptive, and ad-hoc training.
Sadigh, Dorsa   +3 more
core   +1 more source

A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication

open access: yes, 2023
Multi-Agent Systems (MAS) is the study of multi-agent interactions in a shared environment. Communication for cooperation is a fundamental construct for sharing information in partially observable environments.
Behzadan, Vahid, Piazza, Nancirose
core  

Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation over Adaptive Networks

open access: yes, 2012
Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The nodes interact with each other on a local level and diffuse information across the network to solve estimation and inference tasks in a distributed manner.
Sayed, Ali H., Tu, Sheng-Yuan
core   +1 more source

A study on the ephemeral nature of knowledge shared within multiagent systems

open access: yes, 2022
Achieving knowledge sharing within an artificial swarm system could lead to significant development in autonomous multiagent and robotic systems research and realize collective intelligence. However, this is difficult to achieve since there is no generic
Parasuraman, Ramviyas   +2 more
core  

A multi-agent reinforcement learning model of common-pool resource appropriation [PDF]

open access: yes, 2017
Humanity faces numerous problems of common-pool resource appropriation. This class of multi-agent social dilemma includes the problems of ensuring sustainable use of fresh water, common fisheries, grazing pastures, and irrigation systems. Abstract models
Beattie, Charles   +5 more
core   +1 more source

Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling

open access: yes, 2022
Human behavior is the potential and expressive capacity (mental, physical, and social) of human individuals or groups to respond to internal and external stimuli.
Deng, Ou, Jin, Qun
core  

Questions related to Bitcoin and other Informational Money [PDF]

open access: yes, 2013
A collection of questions about Bitcoin and its hypothetical relatives Bitguilder and Bitpenny is formulated. These questions concern technical issues about protocols, security issues, issues about the formalizations of informational monies in various ...
Bergstra, Jan A., de Leeuw, Karl
core   +1 more source

Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime

open access: yes, 2016
This work examines the close interplay between cooperation and adaptation for distributed detection schemes over fully decentralized networks. The combined attributes of cooperation and adaptation are necessary to enable networks of detectors to ...
Braca, Paolo   +3 more
core   +1 more source

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