Designing a robotic fish is a challenging endeavor due to the non-linear dynamics of underwater environments. In this paper, we present an evolutionary computation approach for designing the caudal fin of a carangiform robotic fish. Evolutionary experiments are performed in a simulated environment utilizing a mathematical model to approximate the hydrodynamic motion of a flexible caudal fin. Wi...

Collective movement in autonomous systems, such as a team of robots, are frequently implemented using complex interaction rules and have significant communication requirements. These restrictions frequently relegate such systems to static, simplified environments. In contrast, collective movements in natural systems consistently occur in dynamic, complex environments in which significant commun...

Collaboration in nature is often illustrated through the collective behavior of ants. Although entomological studies have shown that certain goals are well-served by this collective behavior, the extent of what such a collaboration can achieve is not immediately clear. We extend past work that has argued that ants are, in principle, able to collectively compute logical circuits, and illustrate ...

Public health care interventions—regarding vaccination, obesity, and HIV, for example—standardly take the form of information dissemination across a community. But information networks can vary importantly between different ethnic communities, as can levels of trust in information from different sources. We use data from the Greater Pittsburgh Random Household Health Survey to construct models ...

The dual information-function nature of nucleic acids has been exploited in the laboratory to isolate novel receptors and catalysts from random DNA and RNA sequences by cycles of in vitro selection and amplification. This strategy is particularly effective because, unlike polypeptides with random amino acid sequences, nucleic acids with random base sequences are often capable of stably folding ...

This paper describes the results of a simulation to demonstrate the principles and emergent intelligence associated with artificial life. Economic theory can be applied to artificial life in order to analyze and model adaptive or intelligent behaviors. This research is concerned with the principles whereby an animats competent for its resources, and so demonstrates intelligent behavior. This ap...

Advanced technology has made it possible to build machines and systems like robots, which are capable of making intelligent decisions. Robots capable of self-replication and perform human functions are also available. The current challenge is to design evolutionary systems with high complexity comparable to that of biological networks. This is proposed to be achieved by ALife (Artificial Life)....