TY - GEN
T1 - How many ants does it take to find the food?
AU - Emek, Yuval
AU - Langner, Tobias
AU - Stolz, David
AU - Uitto, Jara
AU - Wattenhofer, Roger
PY - 2014
Y1 - 2014
N2 - Consider the Ants Nearby Treasure Search (ANTS) problem, where n mobile agents, initially placed at the origin of an infinite grid, collaboratively search for an adversarially hidden treasure. The agents are controlled by deterministic/randomized finite or pushdown automata and are able to communicate with each other through constant-size messages. We show that the minimum number of agents required to solve the ANTS problem crucially depends on the computational capabilities of the agents as well as the timing parameters of the execution environment. We give lower and upper bounds for different scenarios.
AB - Consider the Ants Nearby Treasure Search (ANTS) problem, where n mobile agents, initially placed at the origin of an infinite grid, collaboratively search for an adversarially hidden treasure. The agents are controlled by deterministic/randomized finite or pushdown automata and are able to communicate with each other through constant-size messages. We show that the minimum number of agents required to solve the ANTS problem crucially depends on the computational capabilities of the agents as well as the timing parameters of the execution environment. We give lower and upper bounds for different scenarios.
UR - http://www.scopus.com/inward/record.url?scp=84958523566&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09620-9_21
DO - 10.1007/978-3-319-09620-9_21
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AN - SCOPUS:84958523566
SN - 9783319096193
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 263
EP - 278
BT - Structural Information and Communication Complexity - 21st International Colloquium, SIROCCO 2014, Proceedings
T2 - 21st International Colloquium on Structural Information and Communication Complexity, SIROCCO 2014
Y2 - 23 July 2014 through 25 July 2014
ER -