• Publications
  • Influence
Multi-Agent Team Formation: Diversity Beats Strength?
TLDR
We propose a new model of diversity and strength for a team of voting agents. Expand
  • 66
  • 2
  • PDF
Preventing HIV Spread in Homeless Populations Using PSINET
TLDR
This paper introduces PSINET (POMDP based Social Interventions in Networks for Enhanced HIV Testing), a novel Partially Observable Markov Decision Process based system which chooses the participants of successive interventions in a social network. Expand
  • 33
  • 2
  • PDF
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)
TLDR
We present a novel benefit of voting, that has not been observed before: we can use the voting patterns to assess the performance of a team and predict their final outcome. Expand
  • 17
  • 1
  • PDF
Traffic control for a swarm of robots: Avoiding group conflicts
TLDR
A very common problem in the navigation of robotic swarms is when groups of robots move into opposite directions, causing congestion situations. Expand
  • 17
  • 1
  • PDF
Avoiding target congestion on the navigation of robotic swarms
TLDR
We propose three algorithms to alleviate congestion, in the first, some robots stop moving towards the target for a random number of iterations. Expand
  • 11
  • 1
  • PDF
Multi-agent Team Formation for Design Problems
TLDR
We present a theoretical study of which kinds of teams are desirable for design problems, and how their size may effect optimality. Expand
  • 6
  • 1
  • PDF
Agents Vote for the Environment: Designing Energy-Efficient Architecture
TLDR
We show that agent teams are able to find a significantly larger percentage of optimal solutions than the current state of the art in building design. Expand
  • 6
  • 1
  • PDF
Diversity beats strength?:towards forming a powerful team
TLDR
We present a new model of diversity and strength for a team of voting agents. Expand
  • 5
  • 1
  • PDF
Team formation in large action spaces
Recent work has shown that diverse teams can outperform a uniform team made of copies of the best agent. However, there are fundamental questions that were not asked before. When should we useExpand
  • 3
  • 1
  • PDF
Diverse Randomized Agents Vote to Win
TLDR
We investigate the power of voting among diverse, randomized software agents. Expand
  • 39
  • PDF