Comparing cooperative geometric puzzle solving in ants versus humans
Biological ensembles use collective intelligence to tackle challenges together, but
suboptimal coordination can undermine the effectiveness of group cognition. Testing …
suboptimal coordination can undermine the effectiveness of group cognition. Testing …
A framework for searching in graphs in the presence of errors
We consider the problem of searching for an unknown target vertex $ t $ in a (possibly edge-
weighted) graph. Each\emph {vertex-query} points to a vertex $ v $ and the response either …
weighted) graph. Each\emph {vertex-query} points to a vertex $ v $ and the response either …
Searching Trees with Permanently Noisy Advice: Walking and Query Algorithms
We consider a search problem on trees in which the goal is to find an adversarially placed
treasure, while relying on local, partial information. Specifically, each node in the tree holds …
treasure, while relying on local, partial information. Specifically, each node in the tree holds …
The Query Complexity of Searching Trees with Permanently Noisy Advice
We consider a search problem on trees aiming to find a treasure that an adversary places at
one of the nodes. The algorithm can query nodes and extract directional information from …
one of the nodes. The algorithm can query nodes and extract directional information from …
Playing Guess Who with your kids: Code-word strategy against adversaries
Guess Who is a two-player search game in which each player chooses a character from a
deck of 24 cards, and has to infer the other player's character by asking yes-no questions. A …
deck of 24 cards, and has to infer the other player's character by asking yes-no questions. A …
Navigating in trees with permanently noisy advice
We consider a search problem on trees in which an agent starts at the root of a tree and
aims to locate an adversarially placed treasure, by moving along the edges, while relying on …
aims to locate an adversarially placed treasure, by moving along the edges, while relying on …
Time dependent biased random walks
We study the biased random walk where at each step of a random walk a “controller” can,
with a certain small probability, move the walk to an arbitrary neighbour. This model was …
with a certain small probability, move the walk to an arbitrary neighbour. This model was …
[PDF][PDF] Searching on trees with noisy memory
We consider a search problem on trees using unreliable guiding instructions. Specifically,
an agent starts a search at the root of a tree aiming to find a treasure hidden at one of the …
an agent starts a search at the root of a tree aiming to find a treasure hidden at one of the …
Time and Space-Efficient Algorithms for Mobile Agents in an Anonymous Network
A Kosowski - 2013 - theses.hal.science
Computing with mobile agents is rapidly becoming a topic of mainstream research in the
theory of distributed computing. The main research questions undertaken in this study …
theory of distributed computing. The main research questions undertaken in this study …
The impact of edge deletions on the number of errors in networks
In this paper, we deal with an error model in distributed networks. For a target t, every node
is assumed to give an advice, ie. to point to a neighbour that take closer to the destination …
is assumed to give an advice, ie. to point to a neighbour that take closer to the destination …