Adaptive cyclically dominating game on co-evolving networks: numerical and analytic results

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Adaptive agents on evolving networks

In this work we study the learning dynamics for agents playing games on networks. We propose a model of network formation in repeated games where players strategically adopt actions and connections simultaneously using a reinforcement learning scheme which is called Boltzmann-Q-learning. This adaptation scheme in the continuous time limit has a proven relation to the evolutionary game theory th...

Co-evolving Real-Time Strategy Game Micro

We investigate competitive co-evolution of unit micromanagement in real-time strategy games. Although good longterm macro-strategy and good short-term unit micromanagement both impact real-time strategy games performance, this paper focuses on generating quality micro. Better micro, for example, can help players win skirmishes and battles even when outnumbered. Prior work has shown that we can ...

Dominating Analytic Families

Let A be an analytic family of sequences of sets of integers. We show that either A is dominated or it contains a continuum of almost disjoint sequences. From this we obtain a theorem by Shelah that a Suslin c.c.c. forcing adds a Cohen real if it adds an unbounded real.

Co-Roman dominating of girds

This article has no abstract.