Norm emergence with biased agents
Effective norms can significantly enhance performance of individual agents and agent
societies. We consider individual agents that repeatedly interact over instances of a given …
societies. We consider individual agents that repeatedly interact over instances of a given …
Symmetric conformity functions make decision-making processes independent of the distribution of learning strategies
A Jędrzejewski, L Hernández - arXiv preprint arXiv:2309.10628, 2023 - arxiv.org
Two main procedures characterize the way in which social actors evaluate the qualities of
the options in decision-making processes: they either seek to evaluate their intrinsic …
the options in decision-making processes: they either seek to evaluate their intrinsic …
Coevolution of honest signaling and cooperative norms by cultural group selection
I Scheuring - BioSystems, 2010 - Elsevier
Evolution of cooperative norms is studied in a population where individual and group level
selection are both in operation. Individuals play indirect reciprocity game within their group …
selection are both in operation. Individuals play indirect reciprocity game within their group …
Natural actor-critic with baseline adjustment for variance reduction
In this study, we discuss a baseline function for the estimation of a natural policy gradient
with respect to variance, and demonstrate a condition in which an optimal baseline function …
with respect to variance, and demonstrate a condition in which an optimal baseline function …
Competitive equilibriums and social shaping for multi-agent systems
In this paper, we study multi-agent systems with decentralized resource allocations. Agents
have local demand and resource supply, and are interconnected through a network …
have local demand and resource supply, and are interconnected through a network …
Incentive Designs for Learning Agents to Stabilize Coupled Exogenous Systems
J Certório, NC Martins, RJ La, M Arcak - arXiv preprint arXiv:2403.18164, 2024 - arxiv.org
We consider a large population of learning agents noncooperatively selecting strategies
from a common set, influencing the dynamics of an exogenous system (ES) we seek to …
from a common set, influencing the dynamics of an exogenous system (ES) we seek to …
A realization theory for bio-inspired collective decision-making
The collective decision-making exhibited by animal groups provides enormous inspiration
for multi-agent control system design as it embodies several features that are desirable in …
for multi-agent control system design as it embodies several features that are desirable in …
[HTML][HTML] Present-biased optimization
This paper explores the behavior of present-biased agents, that is, agents who erroneously
anticipate the costs of future actions compared to their real costs. Specifically, we extend the …
anticipate the costs of future actions compared to their real costs. Specifically, we extend the …
Reprogramming Cooperative Monotone Dynamical Systems Behaviors
R Shah, D Del Vecchio - 2018 IEEE Conference on Decision …, 2018 - ieeexplore.ieee.org
Multistable dynamical systems are ubiquitous in nature, especially in the context of
regulatory networks controlling cell fate decisions, wherein stable steady states correspond …
regulatory networks controlling cell fate decisions, wherein stable steady states correspond …
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability
Assessing the systemic effects of uncertainty that arises from agents' partial observation of
the true states of the world is critical for understanding a wide range of scenarios, from …
the true states of the world is critical for understanding a wide range of scenarios, from …