Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Experts describe the latest research in a rapidly growing multidisciplinary field, the study of groups of individuals acting collectively in ways that seem intelligent.

Swarm intelligence. --- Swarm intelligence --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Social aspects. --- Social aspects --- E-books

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Evolutionary computation --- Evolutionary programming (Computer science) --- Swarm intelligence --- Evolutionary computation. --- Swarm intelligence. --- Collective intelligence --- Computation, Evolutionary --- Cellular automata --- Distributed artificial intelligence --- Computer programming --- Neural networks (Computer science) --- Information Technology --- Computational Biosciences --- Modelling & Simulation --- Réseaux neuronaux à structure évolutive --- Programmation évolutive

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Swarm intelligence --- Mathematical optimization --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- E-books --- Swarm intelligence. --- Mathematical optimization.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book helps you to become the leader of your own swarm by building its collective consciousness. A successful swarm business channels the competitive energies of all stakeholders towards collaboration. The journey from homo competitivus to homo collaborensis starts with recruiting and building an intrinsically motivated group of early enthusiasts, the Collaborative Innovation Network. These teams of homo collaborensis combine the four principles of social quantum physics to create collective consciousness: empathy that builds entanglement, and reflection that leads to personal reboot and refocus. Once the team is operational, its collaboration can be tracked and boosted using the "six honest signals of collaboration," patterns of collaboration, which will further increase the performance of the swarm. The six honest signals are central leadership, rotating leadership, balanced contribution, responsiveness, honest sentiment, and shared context. These concepts are illustrated with examples from leading organizations based on decades of research by the author at MIT, ranging from the creation of the Web, Uber and Airbnb to Fortune 500 high tech firms and healthcare organizations.

E-books --- Creative thinking --- Creative ability in business --- Creative ability --- Diffusion of innovations --- Swarm intelligence --- Social aspects --- Leadership. --- Creative ability in business. --- Swarm intelligence. --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Business creativity --- Business --- Success in business --- Ability --- Command of troops --- Followership --- Innovations, Diffusion of --- Acculturation --- Communication --- Culture diffusion --- Technological innovations --- Creativeness --- Creativity --- Creation (Literary, artistic, etc.) --- Creative thinking (Education) --- Thought and thinking

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Swarming has become a fundamental cultural technique related to dynamic processes and an effective metaphor for the collaborative efforts of society. This book examines the media history of swarm research and its significance to current socio-technological processes. It shows that the hype about collective intelligence is based on a reciprocal computerization of biology and biologization of computer science: After decades of painstaking biological observations in the ocean, experiments in aquariums, and mathematical model-making, it was swarms-inspired computer simulation which provided biological researchers with enduring knowledge about animal collectives. At the same time, a turn to biological principles of self-organization made it possible to adapt to unclearly delineated sets of problems and clarify the operation of opaque systems - from logistics to architecture, or from crowd control to robot collectives. As zootechnologies, swarms offer performative, synthetic, and approximate solutions in cases where analytical approaches are doomed to fail.

Swarming (Zoology) --- Zoology --- Biology --- Natural history --- Animals --- Swarms (Zoology) --- Herding behavior in animals --- Technological innovations. --- Swarm intelligence. --- Computer simulation. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Media History, Media Theory Swarm Intelligence, Computer Simulation, Animal Collectives. --- Methods in social research (general) --- Artificial intelligence. Robotics. Simulation. Graphics --- Knowledge, Theory of.