Publications (4)
Conflict and Convention in Dynamic Networks
Michael Foley, Patrick Forber, Rory Smead +1
An important way to resolve games of conflict (snowdrift, hawk-dove, chicken) involves adopting a convention: a correlated equilibrium that avoids any conflict between aggressive s…
LLMs are Not Just Next Token Predictors
Stephen M. Downes, Patrick Forber, Alex Grzankowski
LLMs are statistical models of language learning through stochastic gradient descent with a next token prediction objective. Prompting a popular view among AI modelers: LLMs are ju…
Spontaneous emergence of groups and signaling diversity in dynamic networks
Zachary Fulker, Patrick Forber, Rory Smead +1
We study the coevolution of network structure and signaling behavior. We model agents who can preferentially associate with others in a dynamic network while they also learn to pla…
Avoiding the bullies: The resilience of cooperation among unequals
Michael Foley, Rory Smead, Patrick Forber +1
Can egalitarian norms or conventions survive the presence of dominant individuals who are ensured of victory in conflicts? We investigate the interaction of power asymmetry and par…