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Copycat (software)
Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed in 1988 by Douglas Hofstadter, Melanie Mitchell, and others at thCenter for Research on Concepts and Cognition Indiana University Bloomington. The original Copycat was written in Common Lisp and is bitrotten (as it relies on now-outdated graphics libraries for Lucid Common Lisp); however, Java and Python ports exist. The latest version in 2018 is Python3 portby Lucas Saldyt and J. Alan Brogan. Description Copycat produces answers to such problems as "abc is to abd as ijk is to what?" (abc:abd :: ijk:?). Hofstadter and Mitchell consider analogy making as the core of high-level cognition, or ''high-level perception'', as Hofstadter calls it, basic to recognition and categorization. High-level perception emerges from the spreading activity of many independent processes, called ''codelets'', running in parallel, competing or cooperating. They create and destroy ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of social media posts), to reveal biases (e.g., in news coverage), or even to map an entire research field. History Examples of the use of semantic networks in logic, directed acyclic graphs as a mnemonic to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Pointer Architecture
Semantics (from grc, σημαντικός ''sēmantikós'', "significant") is the study of reference, meaning, or truth. The term can be used to refer to subfields of several distinct disciplines, including philosophy, linguistics and computer science. History In English, the study of meaning in language has been known by many names that involve the Ancient Greek word (''sema'', "sign, mark, token"). In 1690, a Greek rendering of the term ''semiotics'', the interpretation of signs and symbols, finds an early allusion in John Locke's ''An Essay Concerning Human Understanding'': The third Branch may be called [''simeiotikí'', "semiotics"], or the Doctrine of Signs, the most usual whereof being words, it is aptly enough termed also , Logick. In 1831, the term is suggested for the third branch of division of knowledge akin to Locke; the "signs of our knowledge". In 1857, the term ''semasiology'' (borrowed from German ''Semasiologie'') is attested in Josiah W. Gibbs' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LIDA (cognitive Architecture)
The LIDA (Learning Intelligent Distribution Agent) cognitive architecture is an integrated artificial cognitive system that attempts to model a broad spectrum of cognition in biological systems, from low-level perception/action to high-level reasoning. Developed primarily by Stan Franklin and colleagues at the University of Memphis, the LIDA architecture is empirically grounded in cognitive science and cognitive neuroscience. In addition to providing hypotheses to guide further research, the architecture can support control structures for software agents and robots. Providing plausible explanations for many cognitive processes, the LIDA conceptual model is also intended as a tool with which to think about how minds work. Two hypotheses underlie the LIDA architecture and its corresponding conceptual model: 1) Much of human cognition functions by means of frequently iterated (~10 Hz) interactions, called cognitive cycles, between conscious contents, the various memory systems a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Consciousness
Artificial consciousness (AC), also known as machine consciousness (MC) or synthetic consciousness (; ), is a field related to artificial intelligence and cognitive robotics. The aim of the theory of artificial consciousness is to "Define that which would have to be synthesized were consciousness to be found in an engineered artifact" . Neuroscience hypothesizes that consciousness is generated by the interoperation of various parts of the brain, called the neural correlates of consciousness or NCC, though there are challenges to that perspective. Proponents of AC believe it is possible to construct systems (e.g., computer systems) that can emulate this NCC interoperation. Artificial consciousness concepts are also pondered in the philosophy of artificial intelligence through questions about mind, consciousness, and mental states. Philosophical views As there are many hypothesized types of consciousness, there are many potential implementations of artificial consciousness. In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bongard Problem
A Bongard problem is a kind of puzzle invented by the Russian computer scientist Mikhail Moiseevich Bongard (Михаил Моисеевич Бонгард, 1924–1971), probably in the mid-1960s. They were published in his 1967 book on pattern recognition. The objective is to spot the differences between the two sides. Bongard, in the introduction of the book (which deals with a number of topics including perceptrons) credits the ideas in it to a group including M. N. Vaintsvaig, V. V. Maksimov, and M. S. Smirnov. Overview The idea of a Bongard problem is to present two sets of relatively simple diagrams, say ''A'' and ''B''. All the diagrams from set ''A'' have a common factor or attribute, which is lacking in all the diagrams of set ''B''. The problem is to find, or to formulate, convincingly, the common factor. The problems were popularised by their occurrence in the 1979 book '' Gödel, Escher, Bach'' by Douglas Hofstadter, himself a composer of Bongard problems. Accordi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Subsumption Architecture
Subsumption architecture is a reactive robotic architecture heavily associated with behavior-based robotics which was very popular in the 1980s and 90s. The term was introduced by Rodney Brooks and colleagues in 1986.Brooks, R. A., "A Robust Programming Scheme for a Mobile Robot", Proceedings of NATO Advanced Research Workshop on Languages for Sensor-Based Control in Robotics, Castelvecchio Pascoli, Italy, September 1986. Subsumption has been widely influential in autonomous robotics and elsewhere in real-time AI. Overview Subsumption architecture is a control architecture that was proposed in opposition to traditional AI, or GOFAI. Instead of guiding behavior by symbolic mental representations of the world, subsumption architecture couples sensory information to action selection in an intimate and bottom-up fashion. It does this by decomposing the complete behavior into sub-behaviors. These sub-behaviors are organized into a hierarchy of layers. Each layer implements a part ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Psi (cognitive Architecture)
Psi, PSI or Ψ may refer to: Alphabetic letters * Psi (Greek) (Ψ, ψ), the 23rd letter of the Greek alphabet * Psi (Cyrillic) (Ѱ, ѱ), letter of the early Cyrillic alphabet, adopted from Greek Arts and entertainment * "Psi" as an abbreviation for psionics Comics * Psi (comics), DC Comics character * Psi Division, division in the ''Judge Dredd'' and ''2000 AD'' series of comics * ''Psi-Force'', comic series * Psi-Hawk, comic character * ''Psi Lords'', comic series Music * ''PSI'' (album), album by Pitchshifter (2002) * Psi Com, 1980s rock band * Psi Power, song by rock group Hawkwind (1978) * PSI Records, music record label * Ψ CMX DVD, Finnish language video album by the band CMX * ''Pitch Shifter Industries'', acronym used by the British band Pitchshifter * Logo used by the band Twenty One Pilots during their ''Scaled and Icy'' (2021) album era Other uses in arts and entertainment * ''Psi'' (TV series), Brazil * Psi Corps, in the ''Babylon 5'' fictional universe * ' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DUAL Cognitive Architecture
DUAL is a general cognitive architecture integrating the connectionist and symbolic approaches at the micro level. DUAL is based on decentralized representation and emergent computation. It was inspired by the Society of Mind idea proposed by Marvin Minsky but departs from the initial proposal in many ways. Computations in DUAL emerge from the interaction of many micro-agents each of which is hybrid symbolic/connectionist device. The agents exchange messages and activation via links that can be learnt and modified, they form coalitions which collectively represent concepts, episodes, and facts. Several models have been developed on the basis of DUAL. These include: AMBR (a model of analogy-making and memory), JUDGEMAP (a model of judgment), PEAN (a model of perception), etc. DUAL is developed by a team at the New Bulgarian University led by Boicho Kokinov Boicho Kokinov ( bg, Бойчо Кокинов, 27 December 1960 – 10 May 2013) was an associate professor in cognitive sci ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Soar (cognitive Architecture)
Soar is a cognitive architecture, originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University. (Rosenbloom continued to serve as co-principal investigator after moving to Stanford University, then to the University of Southern California's Information Sciences Institute.) It is nomaintained and developedby John Laird's research group at the University of Michigan. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of cognitive capabilities found in humans, such as decision making, problem solving, planning, and natural-language understanding. It is both a theory of what cognition is and a computational implementation of that theory. Since its beginnings in 1983 as John Laird’s thesis, it has been widely used by AI researchers to create intelligent ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ACT-R
ACT-R (pronounced /ˌækt ˈɑr/; short for "Adaptive Control of Thought—Rational") is a cognitive architecture mainly developed by John Robert Anderson and Christian Lebiere at Carnegie Mellon University. Like any cognitive architecture, ACT-R aims to define the basic and irreducible cognitive and perceptual operations that enable the human mind. In theory, each task that humans can perform should consist of a series of these discrete operations. Most of the ACT-R's basic assumptions are also inspired by the progress of cognitive neuroscience, and ACT-R can be seen and described as a way of specifying how the brain itself is organized in a way that enables individual processing modules to produce cognition. Inspiration ACT-R has been inspired by the work of Allen Newell, and especially by his lifelong championing the idea of unified theories as the only way to truly uncover the underpinnings of cognition. In fact, Anderson usually credits Newell as the major source of infl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
