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Learning to resolve social dilemmas: a survey
Social dilemmas are situations of inter-dependent decision making in which individual
rationality can lead to outcomes with poor social qualities. The ubiquity of social dilemmas in …
rationality can lead to outcomes with poor social qualities. The ubiquity of social dilemmas in …
Emotional multiagent reinforcement learning in spatial social dilemmas
Social dilemmas have attracted extensive interest in the research of multiagent systems in
order to study the emergence of cooperative behaviors among selfish agents …
order to study the emergence of cooperative behaviors among selfish agents …
Enabling imitation-based cooperation in dynamic social networks
The emergence of cooperation among self-interested agents has been a key concern of the
multi-agent systems community for decades. With the increased importance of network …
multi-agent systems community for decades. With the increased importance of network …
Formalization of weak emergence in multiagent systems
Emergence becomes a distinguishing system feature as system complexity grows with the
number of components, interactions, and connectivities. Examples of emergent behaviors …
number of components, interactions, and connectivities. Examples of emergent behaviors …
[PDF][PDF] Exploring indirect reciprocity in complex networks using coalitions and rewiring
It is generally known that cooperation can be achieved in complex real-world interactions
that are not limited to direct interactions only. In particular, cooperation can consider prior …
that are not limited to direct interactions only. In particular, cooperation can consider prior …
A simulation and experimentation architecture for resilient cooperative multiagent reinforcement learning models operating in contested and dynamic environments
Cooperative multiagent reinforcement learning approaches are increasingly being used to
make decisions in contested and dynamic environments, which tend to be wildly different …
make decisions in contested and dynamic environments, which tend to be wildly different …
Understanding complex systems: Using interaction as a measure of emergence
Understanding the behavior of complex systems is becoming a crucial issue as systems
grow in size, and the interconnection and geographical distribution of their components …
grow in size, and the interconnection and geographical distribution of their components …
Detecting Emergent Behavior in Complex Systems: A Machine Learning Approach
The live identification of emergent behavior in complex systems with little a-priori information
is a challenging task and existing approaches are either applicable to a small subset of …
is a challenging task and existing approaches are either applicable to a small subset of …
[HTML][HTML] Potential strategies offered by animals to implement in buildings׳ energy performance: Theory and practice
The strategies for thermal regulation and environmental control found in nature are
countless. In this article, a parallelism between animals and building energy systems is …
countless. In this article, a parallelism between animals and building energy systems is …
Eliciting Fairness in N‐Player Network Games through Degree‐Based Role Assignment
From social contracts to climate agreements, individuals engage in groups that must
collectively reach decisions with varying levels of equality and fairness. These dilemmas …
collectively reach decisions with varying levels of equality and fairness. These dilemmas …