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ALIFE
2006
14 years 10 months ago
Neurocontroller Analysis via Evolutionary Network Minimization
This study presents a new evolutionary network minimization (ENM) algorithm. Neurocontroller minimization is beneficial for finding small parsimonious networks that permit a better...
Zohar Ganon, Alon Keinan, Eytan Ruppin
86
Voted
ALIFE
2006
14 years 10 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...
79
Voted
ALIFE
2006
14 years 10 months ago
Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...
Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin
75
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INFOCOM
2009
IEEE
15 years 4 months ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao
95
Voted
WIOPT
2010
IEEE
14 years 8 months ago
Minimizing transmission energy in sensor networks via trajectory control
—Energy optimization is a significant component of Wireless Sensor Network (WSN) design. In this paper we consider transmission energy optimization in WSNs where messages are co...
Delia Ciullo, Guner D. Celik, Eytan Modiano