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Comparison Of Cognitive Architectures
The following table compares cognitive architectures. {, class="wikitable" , + Comparison of cognitive architectures , - ! Names !! Underlying theory(symbolic, connectionist, or hybrid) !! Achievements !! Estimated requirements !! Non-laboratory usages !! Activity status(active or dead + RSS news) !! Year of creation !! Related publications !! License(if applies, for example GPL) , - ! 4CAPS , hybrid , , ? , , ? , , ? , , ? , , ? , , ? , , , - !ACT-R , hybrid The Knowledge Level in Cognitive Architectures: Current Limitations and Possibile Developments Antonio Lieto, Christian Lebiere and Alessandro Oltramari. In "Cognitive Systems Research'’, 48, 2018. pp 39–55., , ? , , ? , , ? , , active , , ? , , Anderson, 2007 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cognitive Architecture
A cognitive architecture refers to both a theory about the structure of the human mind and to a computational instantiation of such a theory used in the fields of artificial intelligence (AI) and computational cognitive science. The formalized models can be used to further refine a comprehensive theory of cognition and as a useful artificial intelligence program. Successful cognitive architectures include ACT-R (Adaptive Control of Thought - Rational) and SOAR. The research on cognitive architectures as software instantiation of cognitive theories was initiated by Allen Newell in 1990. The Institute for Creative Technologies defines cognitive architecture as: "''hypothesis about the fixed structures that provide a mind, whether in natural or artificial systems, and how they work together – in conjunction with knowledge and skills embodied within the architecture – to yield intelligent behavior in a diversity of complex environments." History Herbert A. Simon, one of the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hierarchical Temporal Memory
Hierarchical temporal memory (HTM) is a biologically constrained machine intelligence technology developed by Numenta. Originally described in the 2004 book ''On Intelligence'' by Jeff Hawkins with Sandra Blakeslee, HTM is primarily used today for anomaly detection in streaming data. The technology is based on neuroscience and the physiology and interaction of pyramidal neurons in the neocortex of the mammalian (in particular, human) brain. At the core of HTM are learning algorithms that can store, learn, infer, and recall high-order sequences. Unlike most other machine learning methods, HTM constantly learns (in an unsupervised process) time-based patterns in unlabeled data. HTM is robust to noise, and has high capacity (it can learn multiple patterns simultaneously). When applied to computers, HTM is well suited for prediction, anomaly detection, classification, and ultimately sensorimotor applications. HTM has been tested and implemented in software through example applications ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of Artificial Intelligence Projects
The following is a list of current and past, non-classified notable artificial intelligence projects. Specialized projects Brain-inspired * Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. * Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. * Human Brain Project, ten-year scientific research project, based on exascale supercomputers. Cognitive architectures * 4CAPS, developed at Carnegie Mellon University under Marcel A. Just * ACT-R, developed at Carnegie Mellon University under John R. Anderson. * AIXI, Universal Artificial Intelligence developed by Marcus Hutter at IDSIA and ANU. * CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an ... [...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] |
Procedural Reasoning System
In artificial intelligence, a procedural reasoning system (PRS) is a framework for constructing real-time reasoning systems that can perform complex tasks in dynamic environments. It is based on the notion of a rational agent or intelligent agent using the belief–desire–intention software model. A user application is predominately defined, and provided to a PRS system is a set of ''knowledge areas''. Each knowledge area is a piece of procedural knowledge that specifies how to do something, e.g., how to navigate down a corridor, or how to plan a path (in contrast with robotic architectures where the programmer just provides a model of what the states of the world are and how the agent's primitive actions affect them). Such a program, together with a PRS interpreter, is used to control the agent. The interpreter is responsible for maintaining beliefs about the world state, choosing which goals to attempt to achieve next, and choosing which knowledge area to apply in the curr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Parallel Terraced Scan
The parallel terraced scan is a multi-agent based search technique that is basic to cognitive architectures, such as Copycat, Letter-string, the Examiner, Tabletop, and others. It was developed by John Rehling and Douglas Hofstadter at the Center for Research on Concepts and Cognition at Indiana University, Bloomington. The parallel terraced scan builds on the concepts of the workspace, coderack, conceptual memory, and temperature. According to Hofstadter the parallel and random nature of the processing captures aspects of human cognition. See also *Copycat Copycat refers to a person who copies some aspect of some thing or somebody else. Copycat may also refer to: Intellectual property rights * Copyright infringement, use of another’s ideas or words without permission * Patent infringement, a v ... External linksThe Parallel Terraced Scan: An Optimization For An Agent-Oriented Architecture(pdf) {{compu-AI-stub Cognitive architecture Theory of computation ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenCog
OpenCog is a project that aims to build an open source software, open source artificial intelligence framework. OpenCog Prime is an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to human-equivalent artificial general intelligence (AGI) as an emergent phenomenon of the whole system. OpenCog Prime's design is primarily the work of Ben Goertzel while the OpenCog framework is intended as a generic framework for broad-based AGI research. Research utilizing OpenCog has been published in journals and presented at conferences and workshops including the annual Conference on Artificial General Intelligence. OpenCog is released under the terms of the Affero General Public License, GNU Affero General Public License. OpenCog is in use by more than 50 companies, including Huawei and Cisco. Origin OpenCog was originally based on the release in 2008 of the source code of the proprietary "Novamente Cognition Engine" (N ... [...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] |
GLAIR (cognitive Architecture)
Egg white is the clear liquid (also called the albumen or the glair/glaire) contained within an egg. In chickens it is formed from the layers of secretions of the anterior section of the hen's oviduct during the passage of the egg. It forms around fertilized or unfertilized egg yolks. The primary natural purpose of egg white is to protect the yolk and provide additional nutrition for the growth of the embryo (when fertilized). Egg white consists primarily of about 90% water into which about 10% proteins (including albumins, mucoproteins, and globulins) are dissolved. Unlike the yolk, which is high in lipids (fats), egg white contains almost no fat, and carbohydrate content is less than 1%. Egg whites contain about 56% of the protein in the egg. Egg white has many uses in food (e.g. meringue, mousse) as well as many other uses (e.g. in the preparation of vaccines such as those for influenza). Composition Egg white makes up around two-thirds of a chicken egg by weight. Water cons ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
4CAPS
4CAPS (Cortical Capacity-Constrained Concurrent Activation-based Production System) is a cognitive architecture developed by Marcel A. Just and Sashank Varma at Carnegie Mellon University.Just, M. A., & Varma, S. (2007). The organization of thinking: What functional brain imaging reveals about the neuroarchitecture of complex cognition. ''Cognitive, Affective, & Behavioral Neuroscience'', ''7(3)'', 153-191. It is the successor of the CAPS and 3CAPS cognitive architectures. Overview and Assumptions In 4CAPS computations are distributed and dynamically balanced among independent processing centers. Like in other cognitive architectures (e.g., ACT-R), these processing centers have been identified with corresponding cortical regions in the human brain. Performing specific task, such as reading or driving, requires the simultaneous contribution of many of such regions. Notably, 4CAPS differs from other architectures for its stress on the capacity constraints (that is, limited compu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
