Evolutionary multimodal optimization In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal) solutions of a problem, as opposed to a single best solution. Evolutionary multimodal optimization is a branch of evolutionary computation, which is closely related to machine learning. Wong provides a short survey,[1] wherein the chapter of Shir[2] and the book of Preuss[3] cover the topic in more detail. Motivation[edit] Knowledge of multiple solutions to an optimization task is especially helpful in engineering, when due to physical (and/or cost) constraints, the best results may not always be realizable. Background[edit] Classical techniques of optimization would need multiple restart points and multiple runs in the hope that a different solution may be discovered every run, with no guarantee however. Multimodal optimization using genetic algorithms/evolution strategies[edit] References[edit] Bibliography[edit] D. External links[edit]
Ethical regulator An ethical regulator and a regulated system Ethical Regulator Theorem[edit] Mick Ashby's ethical regulator theorem[1] builds upon the Conant-Ashby good regulator theorem,[2] which is ambiguous because being good at regulating does not imply being good ethically. Of these requisites, only the first six are necessary for a regulator to be effective. Effectiveness of a regulator The ethical regulator theorem shows that the effectiveness of a cybernetic regulator depends on seven requisites. EffectivenessR = PurposeR x TruthR x (VarietyR - EthicsR) x PredictabilityR x IntelligenceR x InfluenceR If two systems, A and B, are competing for control of a third system, C, and EffectivenessA "is greater than EffectivenessB, then A is more likely than B to win control of C". Model-Centric Cybernetics Paradigm[edit] A cybernetic regulator consists of a purpose, model, well-defined observer, decision-making intelligence, and a control channel. See also[edit] References[edit]
Eyeborg The Harbisson's Sonochromatic Music Scale An eyeborg or eye-borg is a body modification apparatus which fits on the wearer's head, and is designed to allow people to perceive color through sound waves. It works with a head-mounted antenna that senses the colors directly in front of a person, and converts them in real-time into sound waves through bone conduction.[1] History[edit] Color to sound scales[edit] Harbisson's Sonochromatic Music Scale (2003) is a microtonal and logarithmic scale with 360 notes in an octave. Harbisson's Pure Sonochromatic Scale (2005) is a non-logarithmic scale based on the transposition of light frequencies to sound frequencies. The blind[edit] Blind Ecuadorians using eyeborgs Eyeborgs are currently being treated as body parts rather than as devices, and therefore are donated rather than sold.[14] See also[edit] References[edit] External links[edit]
Engineering cybernetics Engineering cybernetics also known as technical cybernetics or cybernetic engineering, is the branch of cybernetics concerned with applications in engineering, in fields such as control engineering and robotics. History[edit] Qian Xuesen (Hsue-Shen Tsien) defined engineering cybernetics as a theoretical field of "engineering science",[1] the purpose of which is to "study those parts of the broad science of cybernetics which have direct engineering applications in designing controlled or guided systems".[2] Published in 1954, Qian's published work "Engineering Cybernetics" describes the mathematical and engineering concepts of cybernetic ideas as understood at the time, breaking them down into granular scientific concepts for application. Qian's work is notable for going beyond model-based theories and arguing for the necessity of a new design principle for types of system the properties and characteristics of which are largely unknown.[3] Popular usage[edit] In Media[edit] See also[edit]
Merrelyn Emery Australian social scientist She regards humans as "innately social animals; we grow only according to the density of interconnections we share with a group," and that "the basic unit of society is the group, not the individual".[6] These groups, be it families, communities, and organizations, is in OST seen as an open social system that transacts with its environment, the external social field, and co-evolution and active adaptation is needed for sustainability and harmony. Socioecology captures the notion of people-in-environments. Included within this is the concept of open, jointly optimized, sociotechnical systems, optimizing human purposefulness and creativity, and the best options afforded by changing technologies. Publications[edit] Merrelyn Emery is the author or coauthor of ten books, eight edited books, 35 book chapters, 60 journal articles, and contributed 29 institutional research reports including several national studies (e.g. Papers and articles, a selection: 1986.
Family therapy Field of psychology Family therapy (also referred to as family counseling, family systems therapy, marriage and family therapy, couple and family therapy) is a branch of psychology and clinical social work that works with families and couples in intimate relationships to nurture change and development. It tends to view change in terms of the systems of interaction between family members. The different schools of family therapy have in common a belief that, regardless of the origin of the problem, and regardless of whether the clients consider it an "individual" or "family" issue, involving families in solutions often benefits clients. This involvement of families is commonly accomplished by their direct participation in the therapy session. The skills of the family therapist thus include the ability to influence conversations in a way that catalyses the strengths, wisdom, and support of the wider system.[1] History and theoretical frameworks[edit] Techniques[edit] Evidence base[edit] [edit]
Elmer and Elsie (robots) Robotic vacuum cleaner Eigenform In mathematics, an eigenform (meaning simultaneous Hecke eigenform with modular group SL(2,Z)) is a modular form which is an eigenvector for all Hecke operators Tm, m = 1, 2, 3, .... Eigenforms fall into the realm of number theory, but can be found in other areas of math and science such as analysis, combinatorics, and physics. A common example of an eigenform, and the only non-cuspidal eigenforms, are the Eisenstein series. Another example is the Δ Function. In second-order cybernetics, eigenforms are an example of a self-referential system.[1] Normalization[edit] There are two different normalizations for an eigenform (or for a modular form in general). Algebraic normalization[edit] An eigenform is said to be normalized when scaled so that the q-coefficient in its Fourier series is one: where q = e2πiz. Analytic normalization[edit] An eigenform which is cuspidal can be normalized with respect to its inner product: Existence[edit] Higher levels[edit] In cybernetics[edit] References[edit]
Fast-and-frugal trees Simple graphical structure in decision-making In the study of decision-making, a fast-and-frugal tree is a simple graphical structure that categorizes objects by asking one question at a time. These decision trees are used in a range of fields: psychology, artificial intelligence, and management science. Unlike other decision or classification trees, such as Leo Breiman's CART,[1] fast-and-frugal trees are intentionally simple, both in their construction as well as their execution, and operate speedily with little information. For this reason, fast-and-frugal-trees are potentially attractive when designing resource-constrained tasks.[2] Laura Martignon, Vitouch, Takezawa and Forster first introduced both the concept and the term in 2003;[3] similar heuristics for other tasks had been used before, building on the formal models created by Gerd Gigerenzer and Herbert A. Basic organization[edit] Construction[edit] The basic elements are the cues. Execution[edit] Performance[edit]
Feedforward (management) Feed forward in management theory is an application of the cybernetic concept of feedforward first articulated by I. A. Richards in 1951. It reflects the impact of Management cybernetics in the general area of management studies. It refers to the practice of giving a control impact in a downlink to a subordinate to a person or an organization from which you are expecting an output. However, a feed forward is generally imposed before any willful change in output may occur. However, social feedback is the response of the supreme hierarch to the subordinate as an acknowledgement of a subordinate's report on output, hence the subordinate's feedback to the supreme.
Earthscore Earthscore is a notational system that enables collaborating videographers to produce a shared perception of environmental realities.[1][2] The system optimizes the use of video and television in the context of the environmental movement by incorporating the cybernetic ideas of Gregory Bateson and the semiotics of Charles Sanders Peirce. The intent of the system is to generate human behaviors that comply with the self-correcting mechanisms of the Earth.[3] Earthscore has been studied and utilized by university students and academics worldwide since 1992.[4][5][6][7] Components[edit] In its most complete and succinct iteration, Earthscore is a notational system with five components. Three Comprehensive Categories of Knowledge[edit] The Three Peircean Categories Firstness is positive quality in the realm of spontaneity, freshness, possibility, and freedom. Secondness is a two-sided consciousness of effort and resistance engendered by being up against brute facts. The Relational Circuit[edit]