Month: September 2022

BIOMIMICRY. "The clever bit about the swarm is that, like schools of fish or flocks of birds, none of the robots know of or "care" about the other robots beyond their immediate neighbors. Instead, they react to what their immediate neighbors do as they determine the best way to fulfill their mission objectives such as area monitoring, navigation to waypoint, aggregation, and dispersion. In a sense, they learn to cooperate with one another." https://lnkd.in/e4TWbpg View in LinkedIn

EMERGENT PROPERTIES. "Self-organizing systems exhibit emerging properties. They show more complex properties of the single contribution of each individual. These properties arise from a combination of non-linear interactions between the members of the colony." https://lnkd.in/dTg7N-6 View in LinkedIn

EMERGING COLLECTIVE BEHAVIOR. "Swarm robotics is the study of how large the number of relatively simple physically embodied agents can be designed such that a desired collective behavior emerges from the local interaction among agents and between the agents and the environment." https://lnkd.in/dTg7N-6 View in LinkedIn

SYNERGISTIC AMPLIFICATION. "Individuals with very limited computational capabilities are able to carry out very complex tasks when they can work together." https://lnkd.in/dTg7N-6 View in LinkedIn

CONFLUENCE OF MANY. "Swarm Intelligence is a set of heuristic solutions inspired by animal swarm behaviors and capable to offer empirical solutions to many computationally hard problems pertaining to several disciplines." https://lnkd.in/dTg7N-6 View in LinkedIn

SWARM SOCIETY. "The emergence of such a complex behavior extends beyond the swarms. Complex social structures are similar in bigger animals as well as other types of insects. Some examples are colonies of ants and termites, flocks of birds, schools of fish, colonies of bacteria, or even herds of terrestrial animals." https://lnkd.in/dTg7N-6 View in LinkedIn

SWARM BENEFITS. "The potential benefits of such approach are several: robustness: the failure of individual elements does not degrade significantly the performance of the entire system;" "simplicity: the individual behavior is simple but still it allows to reduce the complexity of individuals; " "scalability: the control mechanisms used do not depend on the agents number within a swarm." https://lnkd.in/dTg7N-6 View in LinkedIn

FRAGMENT FROM NATURE continues from last weekend and concludes this weekend on the theme of how complexity arose, and the implications for cooperation. Evolution is an ongoing reality, and while we look at trends in plants and animals, it is tempting to speculate about where the next big step is for humanity, if we do not succeed in making our own extinction, and that of the planet at the same time. View in LinkedIn

MODEL #3 NARRATIVE. "The Krebs cycle posed a real difficulty to evolutionary biologists because intermediate stages in its evolution would have no functionality. An analysis of the component enzymes and cofactors, however, revealed that the component parts and intermediate stages had functions apart from their role in the Krebs cycle." (Bolt-on evolution). https://lnkd.in/dJG4bYH View in LinkedIn

MODEL #3 NARRATIVE. "Multiple genes linked by a gene regulatory system can be co-opted as a unit for a new function; their examples include the evolution of butterfly eyespots, vertebrate limbs, complex leaves in plants, and feathers." https://lnkd.in/dJG4bYH View in LinkedIn