Collaborative Intelligence
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Collaborative Intelligence
Collaborative intelligence characterizes multi-agent, distributed systems where each agent, human or machine, is autonomously contributing to a problem solving network. Collaborative autonomy of organisms in their ecosystems makes evolution possible. Natural ecosystems, where each organism's unique signature is derived from its genetics, circumstances, behavior and position in its ecosystem, offer principles for design of next generation social networks to support collaborative intelligence, crowdsourcing individual expertise, preferences, and unique contributions in a problem solving process. Four related terms are complementary: * Collective intelligence processes input from a large number of anonymous responders to quantitative questions to produce better-than-average predictions. * Crowdsourcing distributes microtasks to a large number of anonymous task performers. * Human Computation engages the pattern-recognizing capacities of anonymous human microtask workers to improve ...
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Multi-agent
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents.Hu, J.; Bhowmick, P.; Jang, I.; Arvin, F.; Lanzon, A.,A Decentralized Cluster Formation Containment Framework for Multirobot Systems IEEE Transactions on Robotics, 2021. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve.Hu, J.; Turgut, A.; Lennox, B.; Arvin, F.,Robust Formation Coordination of Robot Swarms with Nonlinear Dynamics and Unknown Disturbances: Design and Experiments IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. Intelligence may include Scientific method, methodic, Function (computer science), functional, Algorithm, procedural approaches, algorithmic search algorithm, search or reinforcement learning.Hu, J.; Bhowmick, P.; Lanzon, A.,Group Coordinated Control of Networked Mobile Robots with Applications to Object Transportation IEEE Transacti ...
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Learning
Learning is the process of acquiring new understanding, knowledge, behaviors, skills, value (personal and cultural), values, attitudes, and preferences. The ability to learn is possessed by humans, animals, and some machine learning, machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single event (e.g. being burned by a Heat, hot stove), but much skill and knowledge accumulate from repeated experiences. The changes induced by learning often last a lifetime, and it is hard to distinguish learned material that seems to be "lost" from that which cannot be retrieved. Human learning starts at birth (it might even start before in terms of an embryo's need for both interaction with, and freedom within its environment within the womb.) and continues until death as a consequence of ongoing interactions between people and their environment. The nature and processes involved in learning are studied in many established fi ...
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Unanimous A
Unanimity is agreement by all people in a given situation. Groups may consider unanimous decisions as a sign of social, political or procedural agreement, solidarity, and unity. Unanimity may be assumed explicitly after a unanimous vote or implicitly by a lack of objections. It does not necessarily mean uniformity and can sometimes be the opposite of majority in terms of outcomes. Voting Practice varies as to whether a vote can be considered unanimous if some voter abstains. In ''Robert's Rules of Order'', a "unanimous vote" is not specifically defined, although an abstention is not counted as a vote regardless of the voting threshold. Also in this book, action could be taken by "unanimous consent", or "general consent", if there are no objections raised. However, unanimous consent may not necessarily be the same as a unanimous vote (see Not the same as unanimous vote). In either case, it does not take into account the members who were not present. In contrast, a United Nation ...
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Swarm Intelligence
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment.Hu, J.; Turgut, A.; Krajnik, T.; Lennox, B.; Arvin, F.,Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks IEEE Transactions on Cognitive and Developmental Systems, 2020. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual a ...
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Evolution
Evolution is change in the heritable characteristics of biological populations over successive generations. These characteristics are the expressions of genes, which are passed on from parent to offspring during reproduction. Variation tends to exist within any given population as a result of genetic mutation and recombination. Evolution occurs when evolutionary processes such as natural selection (including sexual selection) and genetic drift act on this variation, resulting in certain characteristics becoming more common or more rare within a population. The evolutionary pressures that determine whether a characteristic is common or rare within a population constantly change, resulting in a change in heritable characteristics arising over successive generations. It is this process of evolution that has given rise to biodiversity at every level of biological organisation, including the levels of species, individual organisms, and molecules. The theory of evolution by ...
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Evolutionary Computation
In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character. In evolutionary computation, an initial set of candidate solutions is generated and iteratively updated. Each new generation is produced by stochastically removing less desired solutions, and introducing small random changes. In biological terminology, a population of solutions is subjected to natural selection (or artificial selection) and mutation. As a result, the population will gradually evolve to increase in fitness, in this case the chosen fitness function of the algorithm. Evolutionary computation techniques can produce highly optimized solutions in a wide range of problem settings, making them popular i ...
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Marco Dorigo
Marco Dorigo (born 26 August 1961, in Milan, Italy) is a research director for the Belgian Funds for Scientific Research and a co-director of ''IRIDIA'', the artificial intelligence lab of the Université Libre de Bruxelles. He received a PhD in System and Information Engineering in 1992 from the Polytechnic University of Milan with a thesis titled ''Optimization, learning, and natural algorithms''. He is the leading proponent of the ant colony optimization metaheuristic (see his book published by MIT Press in 2004), and one of the founders of the swarm intelligence research field. Recently he got involved with research in swarm robotics: he is the coordinator of ''Swarm-bots: Swarms of self-assembling artifacts'' and of ''Swarmanoid: Towards humanoid robotic swarms'', two swarm robotics projects funded by the Future and Emerging Technologies Program of the European Commission. He is also the founding editor and editor in chief of ''Swarm Intelligence'', the principal peer-reviewe ...
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Ant Colony Optimization Algorithms
In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through Graph (discrete mathematics), graphs. Artificial ants stand for multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is often the predominant paradigm used. Combinations of artificial ants and local search (optimization), local search algorithms have become a method of choice for numerous optimization tasks involving some sort of Graph (discrete mathematics), graph, e.g., vehicle routing problem, vehicle routing and internet routing. As an example, ant colony optimization is a class of optimization (computer science), optimization algorithm In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, p ...
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William Morton Wheeler
William Morton Wheeler (March 19, 1865 – April 19, 1937) was an American entomologist, myrmecologist and Harvard professor. Biography Early life and education William Morton Wheeler was born on March 19, 1865, to parents Julius Morton Wheeler and Caroline Georgiana Wheeler ( Anderson) in Milwaukee, Wisconsin. At a young age, Wheeler had an interest in natural history, first being when he observed a moth ensnared in a spiders web; such observation interested Wheeler that he became importunate for more nature lore. Wheeler attended public school, but, due to "persistently bad behavior", he was transferred to a local University School of Milwaukee, German academy which was known for its extreme discipline. After he completed his courses in the German academy, he attended a German normal school. In both institutions, Wheeler was trained in a variety of subjects: he was given training in languages, philosophy and science. By this time, he could read fluently in French, German, Greek, ...
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Paenibacillus Dendritiformis
''Paenibacillus dendritiformis'' is a species of pattern-forming bacteria, first discovered in the early 90s by Eshel Ben-Jacob's group.Ben-Jacob E, Shochet O, Tenenbaum A, Avidan O. Evolution of complexity during growth of bacterial colonies. Paper presented at: NATO Advanced Research Workshop, 1995; Santa Fe, USA. It is a social microorganism that forms colonies with complex and dynamic architectures. The genus ''Paenibacillus'' comprises facultative anaerobic, endospore-forming bacteria originally included within the genus Bacillus and then reclassified as a separate genus in 1993.Ash C, Priest FG, Collins MD. Molecular identification of rRNA group 3 bacilli (Ash, Farrow, Wallbanks and Collins). Proposal for the creation of a new genus Paenibacillus. Antonie van Leeuwenhoek. 1993;64(3-4):253-260. Bacteria belonging to this genus have been detected in a variety of environments such as: soil, water, rhizosphere, vegetable matter, forage and insect larvae.Lal S, Tabacchioni S: Eco ...
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Paenibacillus Vortex
''Paenibacillus vortex'' is a species of pattern-forming bacteria, first discovered in the early 1990s by Eshel Ben-Jacob's group at Tel Aviv University. It is a social microorganism that forms colonies with complex and dynamic architectures. ''P. vortex'' is mainly found in heterogeneous and complex environments, such as the rhizosphere, the soil region directly influenced by plant roots. The genus ''Paenibacillus'' comprises facultative anaerobic, endospore-forming bacteria originally included within the genus ''Bacillus'' and then reclassified as a separate genus in 1993.Ash C, Priest FG, Collins MD: Molecular identification of rRNA group 3 bacilli (Ash, Farrow, Wallbanks and Collins) using a PCR probe test. Proposal for the creation of a new genus ''Paenibacillus''. Antonie van Leeuwenhoek 1993, 64:253-260. Bacteria in the genus have been detected in a variety of environments such as: soil, water, vegetable matter, forage and insect larva A larva (; plural larvae ) is a di ...
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Self-organization
Self-organization, also called spontaneous order in the social sciences, is a process where some form of overall order arises from local interactions between parts of an initially disordered system. The process can be spontaneous when sufficient energy is available, not needing control by any external agent. It is often triggered by seemingly random fluctuations, amplified by positive feedback. The resulting organization is wholly decentralized, distributed over all the components of the system. As such, the organization is typically robust and able to survive or self-repair substantial perturbation. Chaos theory discusses self-organization in terms of islands of predictability in a sea of chaotic unpredictability. Self-organization occurs in many physical, chemical, biological, robotic, and cognitive systems. Examples of self-organization include crystallization, thermal convection of fluids, chemical oscillation, animal swarming, neural circuits, and black markets. ...
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