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Andreas Pavlogiannis

5 accepted papers

2024

Robust Reward Placement under Uncertainty

IJCAI 2024poster

We consider a problem of placing generators of rewards to be collected by randomly moving agents in a network. In many settings, the precise mobility pattern may be one of several possible, based on parameters outside our control, such as weather conditions. The placement should be robust to this un…

Cited by 1SourcePDFScholar
2024

Seed Selection in the Heterogeneous Moran Process

IJCAI 2024poster

The Moran process is a classic stochastic process that models the rise and takeover of novel traits in network-structured populations. In biological terms, a set of mutants, each with fitness m ∈ (0, ∞) invade a population of residents with fitness 1. Each agent reproduces at a rate proportional to…

Cited by 0SourcePDFScholar
2023

Maximizing the Probability of Fixation in the Positional Voter Model

AAAI 2023technical

The Voter model is a well-studied stochastic process that models the invasion of a novel trait A (e.g., a new opinion, social meme, genetic mutation, magnetic spin) in a network of individuals (agents, people, genes, particles) carrying an existing resident trait B. Individuals change traits by occa…

Cited by 3SourcePDFScholar
2022

Fixation Maximization in the Positional Moran Process

AAAI 2022technical

The Moran process is a classic stochastic process that models invasion dynamics on graphs. A single mutant (e.g., a new opinion, strain, social trait etc.) invades a population of residents spread over the nodes of a graph. The mutant fitness advantage δ>=0 determines how aggressively mutants propag…

Cited by 8SourcePDFScholar
2022

Invasion Dynamics in the Biased Voter Process

IJCAI 2022poster

The voter process is a classic stochastic process that models the invasion of a mutant trait A (e.g., a new opinion, belief, legend, genetic mutation, magnetic spin) in a population of agents (e.g., people, genes, particles) who share a resident trait B, spread over the nodes of a graph. An agent ma…

Cited by 7SourcePDFScholar