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Engineering the emergence of norms: a review
Complex systems often exhibit emergent behaviour, unexpected macro-level behaviour
caused by the interaction of micro-level components. In multiagent systems, these micro …
caused by the interaction of micro-level components. In multiagent systems, these micro …
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
Game theoretic views of convention generally rest on notions of common knowledge and
hyper-rational models of individual behavior. However, decades of work in behavioral …
hyper-rational models of individual behavior. However, decades of work in behavioral …
[PDF][PDF] Emergence of social norms through collective learning in networked agent societies
Social norms play a pivotal role in sustaining social order by regulating individual behaviors
in a society. In normative multiagent systems, social norms have been used as an efficient …
in a society. In normative multiagent systems, social norms have been used as an efficient …
Collective learning for the emergence of social norms in networked multiagent systems
C Yu, M Zhang, F Ren - IEEE Transactions on Cybernetics, 2014 - ieeexplore.ieee.org
Social norms such as social rules and conventions play a pivotal role in sustaining system
order by regulating and controlling individual behaviors toward a global consensus in large …
order by regulating and controlling individual behaviors toward a global consensus in large …
Latent space alignment using adversarially guided self-play
We envision a world in which robots serve as capable partners in heterogeneous teams
composed of other robots or humans. A crucial step towards such a world is enabling robots …
composed of other robots or humans. A crucial step towards such a world is enabling robots …
Information diffusion in social networks in two phases
The problem of maximizing information diffusion, given a certain budget expressed in terms
of the number of seed nodes, is an important topic in social networks research. Existing …
of the number of seed nodes, is an important topic in social networks research. Existing …
A decentralized approach for convention emergence in multi-agent systems
The field of convention emergence studies how agents involved in repeated coordination
games can reach consensus through only local interactions. The literature on this topic is …
games can reach consensus through only local interactions. The literature on this topic is …
Fostering cooperation in structured populations through local and global interference strategies
We study the situation of an exogenous decisionmaker aiming to encourage a population of
autonomous, self-regarding agents to follow a desired behaviour at a minimal cost. The …
autonomous, self-regarding agents to follow a desired behaviour at a minimal cost. The …
Exogenous rewards for promoting cooperation in scale-free networks
The design of mechanisms that encourage pro-social behaviours in populations of self-
regarding agents is recognised as a major theoretical challenge within several areas of …
regarding agents is recognised as a major theoretical challenge within several areas of …
A systematic review of norm emergence in multi-agent systems
Multi-agent systems (MAS) have gained relevance in the field of artificial intelligence by
offering tools for modelling complex environments where autonomous agents interact to …
offering tools for modelling complex environments where autonomous agents interact to …