Mapping the Landscape of Human-Level Artificial
... than presenting a unified perspective. Viewed historically, efforts to conceptualize, define, and measure intelligence in humans reflect a distinct trend from general to specific (Gregory 1996), much like the history of AI. Early work in defining and measuring intelligence was heavily influenced by ...
... than presenting a unified perspective. Viewed historically, efforts to conceptualize, define, and measure intelligence in humans reflect a distinct trend from general to specific (Gregory 1996), much like the history of AI. Early work in defining and measuring intelligence was heavily influenced by ...
Preparation of Papers in Two-Column Format for
... psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion includes a subjective, conscious experience characterized by psychophysiological expressions, biological react ...
... psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion includes a subjective, conscious experience characterized by psychophysiological expressions, biological react ...
25. Dopamine and Planning - USC
... Sensory stimuli influence the membrane potentials of two medium spiny projection neurons in striatal matrisomes (large circles). These membrane potentials are also influenced by fluctuations between an elevated up-state and a hyperpolarized down-state simulated with the functions s1(t) and s2(t). Ad ...
... Sensory stimuli influence the membrane potentials of two medium spiny projection neurons in striatal matrisomes (large circles). These membrane potentials are also influenced by fluctuations between an elevated up-state and a hyperpolarized down-state simulated with the functions s1(t) and s2(t). Ad ...
1 - Philsci
... system. The processes operative there are radically, qualitatively unlike those of the semiclassical Einstein equation. Instead the “metric” is really a feature of the tensorial mass distribution. So we have neither a similarity by approximation, not by suppression of parameters, but instead somethi ...
... system. The processes operative there are radically, qualitatively unlike those of the semiclassical Einstein equation. Instead the “metric” is really a feature of the tensorial mass distribution. So we have neither a similarity by approximation, not by suppression of parameters, but instead somethi ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
... of satisfaction. I certainly did. One of the sources of satisfaction was the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity allowed me to step back and think of the big picture, the long perspective. The way to ...
... of satisfaction. I certainly did. One of the sources of satisfaction was the opportunity to give the presidential address at AAAI-07 in Vancouver, my hometown. This article is based on that talk. That opportunity allowed me to step back and think of the big picture, the long perspective. The way to ...
Scripts and Behaviors
... Strong AI: the ability to perform activities normally thought to require intelligence, learning, and adapting. Weak AI: specialized intelligent qualities. ...
... Strong AI: the ability to perform activities normally thought to require intelligence, learning, and adapting. Weak AI: specialized intelligent qualities. ...
Consciousness and Sleep
... The term unconscious is used by psychologists who take a more philosophical approach to understanding people and their problems. It was the concept used first by Freud to describe the part of mind containing the repressed conflicts. Today most scientists agree that it is time to apply scientific thi ...
... The term unconscious is used by psychologists who take a more philosophical approach to understanding people and their problems. It was the concept used first by Freud to describe the part of mind containing the repressed conflicts. Today most scientists agree that it is time to apply scientific thi ...
Robotics
... Machines beat humans at perfect information games but not yet at imperfect information ...
... Machines beat humans at perfect information games but not yet at imperfect information ...
cached
... answered questions) prior to satisfactory case retrieval (Aha et al., 1998). With this goal in mind, Gupta (2001) introduced a Taxonomic CCBR approach that re-structures cases into a set of taxonomies, one per factor, that, by adapting to the user’s level of abstraction, can more quickly focus case ...
... answered questions) prior to satisfactory case retrieval (Aha et al., 1998). With this goal in mind, Gupta (2001) introduced a Taxonomic CCBR approach that re-structures cases into a set of taxonomies, one per factor, that, by adapting to the user’s level of abstraction, can more quickly focus case ...
Watson: The Jeopardy! Machine
... Singh, Tarandeep. "Artificial Intelligence Algorithm behind IBM Watson." Geeknizer. Geeknizer, 16 Feb. 2011. Web. 6 July 2012.
... Singh, Tarandeep. "Artificial Intelligence Algorithm behind IBM Watson." Geeknizer. Geeknizer, 16 Feb. 2011. Web. 6 July 2012.
Special Session on Swarm Intelligence for Global Optimization 2013
... etc. During the past decade, algorithms based on SI have emerged as potential candidates for solving complex and intricate global optimization problems which are otherwise difficult to solve by traditional methods. Some popular SI based techniques for Global Optimization include Ant Colony Optimizat ...
... etc. During the past decade, algorithms based on SI have emerged as potential candidates for solving complex and intricate global optimization problems which are otherwise difficult to solve by traditional methods. Some popular SI based techniques for Global Optimization include Ant Colony Optimizat ...
PDF handout of power point slides
... – Single Agent – crossword puzzle – Multi-agent – chess, taxi driving? (are other drivers best described as maximizing a performance element?) – Multi-agent means other agents may be competitive or cooperative and may require ...
... – Single Agent – crossword puzzle – Multi-agent – chess, taxi driving? (are other drivers best described as maximizing a performance element?) – Multi-agent means other agents may be competitive or cooperative and may require ...
One Decade of Universal Artificial Intelligence
... • Very general: No restriction on internal working of agent. • Correctly orders simple adaptive agents. • Agents with high Υ like AIXI are extremely powerful. • Υ spans from very low intelligence up to ultra-high intelligence. • Practically meaningful: High Υ = practically useful. • Non-anthropocent ...
... • Very general: No restriction on internal working of agent. • Correctly orders simple adaptive agents. • Agents with high Υ like AIXI are extremely powerful. • Υ spans from very low intelligence up to ultra-high intelligence. • Practically meaningful: High Υ = practically useful. • Non-anthropocent ...
Prolegomena to any future artificial moral agent
... In both ethical theory and day-to-day talk about ethics, people disagree about the morality of various actions. Kant claimed that it is always immoral to lie, no matter what the consequences (although Singer argues that Kant’s own principles do not entail this conclusion). A utilitarian would deny i ...
... In both ethical theory and day-to-day talk about ethics, people disagree about the morality of various actions. Kant claimed that it is always immoral to lie, no matter what the consequences (although Singer argues that Kant’s own principles do not entail this conclusion). A utilitarian would deny i ...
Final Year Project Proposals (Academic Year 2016-17)
... beings is unique. Even the retinas of identical twins have different pattern. This property makes it ideal for retinal images to be used in biometric systems for the identification of persons. The goal of this project is to develop a person identification system based on the matching of retinal imag ...
... beings is unique. Even the retinas of identical twins have different pattern. This property makes it ideal for retinal images to be used in biometric systems for the identification of persons. The goal of this project is to develop a person identification system based on the matching of retinal imag ...
CS 561a: Introduction to Artificial Intelligence
... Foundations - Mathematics • More formal logical methods • Boolean logic (Boole, 1847) • Analysis of limits to what can be computed • Intractability (1965) – time required to solve problem scales exponentially with the size of problem instance • NP-complete (1971) – Formal classification of problems ...
... Foundations - Mathematics • More formal logical methods • Boolean logic (Boole, 1847) • Analysis of limits to what can be computed • Intractability (1965) – time required to solve problem scales exponentially with the size of problem instance • NP-complete (1971) – Formal classification of problems ...
Production Rules as a Representation for a Knowledge
... of various system capabilities is facilitated or inhibited by the use of production r, les as a knowledge representation. In addition, the limits of applicability of this approach are investigated. We be~n with a review of features which were seen to be essential to any knowledge-based consultation ...
... of various system capabilities is facilitated or inhibited by the use of production r, les as a knowledge representation. In addition, the limits of applicability of this approach are investigated. We be~n with a review of features which were seen to be essential to any knowledge-based consultation ...
Problem - Cognitive Tutor Authoring Tools
... three-fold reduction in the amount of time required to do these tasks. We also want to make modeling possible so more people can use modeling in their research and development. One way our tool is different than other cognitive modeling tools is that we can easily turn a cognitive model into a “mode ...
... three-fold reduction in the amount of time required to do these tasks. We also want to make modeling possible so more people can use modeling in their research and development. One way our tool is different than other cognitive modeling tools is that we can easily turn a cognitive model into a “mode ...
Book Title - Computer Science
... processing programs allow you to control the appearance of the text (e.g., paragraph styles, typefaces, etc…) when it is printed ...
... processing programs allow you to control the appearance of the text (e.g., paragraph styles, typefaces, etc…) when it is printed ...
Research on the Application of Distributed Artificial Intelligence in
... The researches of intelligent Agent theory and technology originated from distributed artificial intelligence (Distributed Artificial Intelligence, DAI). Agent is a software entity that can study independently and adapt to the environment. Its characteristics include autonomy, re-activity, cooperati ...
... The researches of intelligent Agent theory and technology originated from distributed artificial intelligence (Distributed Artificial Intelligence, DAI). Agent is a software entity that can study independently and adapt to the environment. Its characteristics include autonomy, re-activity, cooperati ...
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
... training the model with pre-defined data. SVM tool is used for both classification and regression problems and it is based on statistical learning theory .In SVM some sample data as an input is given and its output function is used to predict some feature of the future data. In many conventional and ...
... training the model with pre-defined data. SVM tool is used for both classification and regression problems and it is based on statistical learning theory .In SVM some sample data as an input is given and its output function is used to predict some feature of the future data. In many conventional and ...
Machine Learning
... What is Machine Learning? Types of Machine Learning (2) Supervised Learning Each example or object has a class attached to it. We try to learn a mapping from examples to classes. Two modes: classification and regression Machine learning algorithms abound: ...
... What is Machine Learning? Types of Machine Learning (2) Supervised Learning Each example or object has a class attached to it. We try to learn a mapping from examples to classes. Two modes: classification and regression Machine learning algorithms abound: ...
Machine Learning - Department of Computer Science
... What is Machine Learning? Types of Machine Learning (2) Supervised Learning Each example or object has a class attached to it. We try to learn a mapping from examples to classes. Two modes: classification and regression Machine learning algorithms abound: ...
... What is Machine Learning? Types of Machine Learning (2) Supervised Learning Each example or object has a class attached to it. We try to learn a mapping from examples to classes. Two modes: classification and regression Machine learning algorithms abound: ...
An Alternative Arithmetic Approach to the Water Jugs Problem
... each step by getting the value of X and Y by using the backward approach. When these values are just substituted in the Extended Euclidean equation our goal will be reached. Due to its simplicity it is very suitable for manual calculation of the proving steps. The whole paper is organized as follows ...
... each step by getting the value of X and Y by using the backward approach. When these values are just substituted in the Extended Euclidean equation our goal will be reached. Due to its simplicity it is very suitable for manual calculation of the proving steps. The whole paper is organized as follows ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑