1,326 research outputs found
Applications of Biological Cell Models in Robotics
In this paper I present some of the most representative biological models
applied to robotics. In particular, this work represents a survey of some
models inspired, or making use of concepts, by gene regulatory networks (GRNs):
these networks describe the complex interactions that affect gene expression
and, consequently, cell behaviour
Unknown area exploration for robots with energy constraints using a modified Butterfly Optimization Algorithm
Butterfly Optimization Algorithm (BOA) is a recent metaheuristic that has
been used in several optimization problems. In this paper, we propose a new
version of the algorithm (xBOA) based on the crossover operator and compare its
results to the original BOA and 3 other variants recently introduced in the
literature. We also proposed a framework for solving the unknown area
exploration problem with energy constraints using metaheuristics in both
single- and multi-robot scenarios. This framework allowed us to benchmark the
performances of different metaheuristics for the robotics exploration problem.
We conducted several experiments to validate this framework and used it to
compare the effectiveness of xBOA with wellknown metaheuristics used in the
literature through 5 evaluation criteria. Although BOA and xBOA are not optimal
in all these criteria, we found that BOA can be a good alternative to many
metaheuristics in terms of the exploration time, while xBOA is more robust to
local optima; has better fitness convergence; and achieves better exploration
rates than the original BOA and its other variants
Robot Consciousness: Physics and Metaphysics Here and Abroad
Interest has been renewed in the study of consciousness, both theoretical and applied, following developments in 20th and early 21st-century logic, metamathematics, computer science, and the brain sciences. In this evolving narrative, I explore several theoretical questions about the types of artificial intelligence and offer several conjectures about how they affect possible future developments in this exceptionally transformative field of research. I also address the practical significance of the advances in artificial intelligence in view of the cautions issued by prominent scientists, politicians, and ethicists about the possible dangers of such sufficiently advanced general intelligence, including by implication the search for extraterrestrial intelligence
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