agent-based model - IDt
... Imitating sub-symbolic problem solving: embodied agent approaches emphasize the importance of sensorimotor skills to higher reasoning; neural networks (connectionist) research simulates the structures inside human and animal brains that give rise to this sub-symbolic skill. ...
... Imitating sub-symbolic problem solving: embodied agent approaches emphasize the importance of sensorimotor skills to higher reasoning; neural networks (connectionist) research simulates the structures inside human and animal brains that give rise to this sub-symbolic skill. ...
Consciousness and Creativity in Brain
... The main focus of interest will be the self-model; its characteristics and internal changes are expected to resemble those of the conscious self in humans, perhaps closely enough to enable some of the robots to be regarded as possessing a form of machine consciousness. Increasingly complex biologica ...
... The main focus of interest will be the self-model; its characteristics and internal changes are expected to resemble those of the conscious self in humans, perhaps closely enough to enable some of the robots to be regarded as possessing a form of machine consciousness. Increasingly complex biologica ...
artificial intelligence and life in 2030
... – Research is now shifting to develop refined and capable systems that are able to interact with people through dialog, not just react to stylized requests – Great strides have also been made in machine translation among different languages, with more real-time person-to-person exchanges on the near ...
... – Research is now shifting to develop refined and capable systems that are able to interact with people through dialog, not just react to stylized requests – Great strides have also been made in machine translation among different languages, with more real-time person-to-person exchanges on the near ...
Slide 1
... general properties of intelligence, such as the ability to solve difficult problems or come up with original insights. If a machine can solve a difficult problem that no person could solve, it would, in principle, fail the test. ...
... general properties of intelligence, such as the ability to solve difficult problems or come up with original insights. If a machine can solve a difficult problem that no person could solve, it would, in principle, fail the test. ...
CP052 E-Commerce Technology
... specify domains and reasoning tasks of a situated software agent, different logical systems for inference over formal domain representations, various learning techniques and agent technology CO2: Identify symbolic knowledge representation to specify domains and reasoning tasks of a situated software ...
... specify domains and reasoning tasks of a situated software agent, different logical systems for inference over formal domain representations, various learning techniques and agent technology CO2: Identify symbolic knowledge representation to specify domains and reasoning tasks of a situated software ...
Abstract
... Abstract It is shown how Componential Explanation as discussed within Philosophy relates to Compositional Verification in Computer Science and Artificial Intelligence. The paper shows how a formal approach to Compositional Verification and some of the formal techniques developed for Computer Science ...
... Abstract It is shown how Componential Explanation as discussed within Philosophy relates to Compositional Verification in Computer Science and Artificial Intelligence. The paper shows how a formal approach to Compositional Verification and some of the formal techniques developed for Computer Science ...
Nets vs. Symbols
... network of comparatively simple processors (the nodes, units or artificial neurons) each of which has a large fan-in and fan-out. In biological neurons the distinctive processing ability of each neuron is supposed to reside in the electrochemical characteristics of the inter-neuron connections, or s ...
... network of comparatively simple processors (the nodes, units or artificial neurons) each of which has a large fan-in and fan-out. In biological neurons the distinctive processing ability of each neuron is supposed to reside in the electrochemical characteristics of the inter-neuron connections, or s ...
AI Risk Bibliography 2012 - Machine Intelligence Research Institute
... Listed sources discuss either the likelihood of AI risk or they discuss possible solutions. (This does not include most of the “machine ethics” literature, unless an article discusses machine ethics in the explicit context of artificial intelligence as an existential risk.) Where possible, I have in ...
... Listed sources discuss either the likelihood of AI risk or they discuss possible solutions. (This does not include most of the “machine ethics” literature, unless an article discusses machine ethics in the explicit context of artificial intelligence as an existential risk.) Where possible, I have in ...
Turing TEST! - WordPress.com
... should be able to conduct a conversation with a human, and the human should not be able to determine whether the agent they are communicating with is a computer or another human. Effectively the computer should be able to conduct a text based conversation with a person as well as a human being could ...
... should be able to conduct a conversation with a human, and the human should not be able to determine whether the agent they are communicating with is a computer or another human. Effectively the computer should be able to conduct a text based conversation with a person as well as a human being could ...
Improving the Design and Discovery of Dynamic in Sequential Decision-Making
... In recent years, we have investigated algorithmic methods for automatically discovering and optimizing sequential treatments for chronic and life-threatening diseases. In this talk I will discuss two aspects of this work, first the problem of efficiently collecting data to learn good sequential trea ...
... In recent years, we have investigated algorithmic methods for automatically discovering and optimizing sequential treatments for chronic and life-threatening diseases. In this talk I will discuss two aspects of this work, first the problem of efficiently collecting data to learn good sequential trea ...
recent publications - University of Tulsa
... like the majority of efforts in AI, simulates symptoms of intelligent behavior as observed in humans. The benefit of this approach is that it can generate highly optimized behavior, even to the extent that it surpasses human performance. Genesereth and Nilsson suggested that the ultimate goal of AI ...
... like the majority of efforts in AI, simulates symptoms of intelligent behavior as observed in humans. The benefit of this approach is that it can generate highly optimized behavior, even to the extent that it surpasses human performance. Genesereth and Nilsson suggested that the ultimate goal of AI ...
Norges teknisk-naturvitenskapelige universitet
... a) What is the Turing Test, and how is it related to the concept of Artificial Intelligence? b) What is a state space? List four important components of a state space, and explain the role of each of them. c) Use the predicates animal, dog, cat, owns, animal-lover, kills, and the constants Ole, Pusu ...
... a) What is the Turing Test, and how is it related to the concept of Artificial Intelligence? b) What is a state space? List four important components of a state space, and explain the role of each of them. c) Use the predicates animal, dog, cat, owns, animal-lover, kills, and the constants Ole, Pusu ...
Tehnici de optimizare – Programare Genetica
... Next we focus a bit on the learning algorithms (methods) (training) for artificial neural networks. This concept aims to adjust the weights and the polarization so that the input can get outputs for which we designed this network for. It is a very important phase in the economy of these types of alg ...
... Next we focus a bit on the learning algorithms (methods) (training) for artificial neural networks. This concept aims to adjust the weights and the polarization so that the input can get outputs for which we designed this network for. It is a very important phase in the economy of these types of alg ...
COMP5123 Intelligent Information Systems
... finance, computing and engineering. Upon completion of the subject, students will be able to: a) understand and apply the latest techniques in artificial and computational intelligence that can be used to facilitate decision making processes; b) apply principles and techniques in knowledge managemen ...
... finance, computing and engineering. Upon completion of the subject, students will be able to: a) understand and apply the latest techniques in artificial and computational intelligence that can be used to facilitate decision making processes; b) apply principles and techniques in knowledge managemen ...
pdf - people.csail.mit.edu
... systems as a means of capturing human expert reasoning. Where the logicist tradition takes intelligent reasoning to be a form of calculation, typically deduction in first-order logic, the tradition based in psychology takes as the defining characteristic of intelligent reasoning that it is a particu ...
... systems as a means of capturing human expert reasoning. Where the logicist tradition takes intelligent reasoning to be a form of calculation, typically deduction in first-order logic, the tradition based in psychology takes as the defining characteristic of intelligent reasoning that it is a particu ...
Report on the Nineteenth International FLAIRS Conference
... Melbourne Beach, Florida, USA. The general cochairs were Philip Chan and Debasis Mitra, from the Florida Institute of Technology, USA. The program cochairs were Geoff Sutcliffe, from the University of Miami, USA, and Randy Goebel, from the University of Alberta, Canada. The special tracks chair was ...
... Melbourne Beach, Florida, USA. The general cochairs were Philip Chan and Debasis Mitra, from the Florida Institute of Technology, USA. The program cochairs were Geoff Sutcliffe, from the University of Miami, USA, and Randy Goebel, from the University of Alberta, Canada. The special tracks chair was ...
Knowledge-based expert systems : a brief bibliography
... In the following, I have grouped papers roughly into categories, some of which contain specific systems while others are broader overviews or even general introductions to the wider field of Al. In the interest of being representative, a number of systems of approximately equal significance to those ...
... In the following, I have grouped papers roughly into categories, some of which contain specific systems while others are broader overviews or even general introductions to the wider field of Al. In the interest of being representative, a number of systems of approximately equal significance to those ...
kapor mitch speaks
... informatics, cybernetics, and in some accounts of the cyborg and the posthuman, but she extends her critique far more broadly, to an attack on the notion of the "liberal subject" as it has been developed over the last few hundred years. All theorizations of the posthuman follow a similar logic; the ...
... informatics, cybernetics, and in some accounts of the cyborg and the posthuman, but she extends her critique far more broadly, to an attack on the notion of the "liberal subject" as it has been developed over the last few hundred years. All theorizations of the posthuman follow a similar logic; the ...
Introduction to Cognitive Science
... Turing (1950) “Computing machinery and intelligence“: Classical article in AI. –> Turing test. ...
... Turing (1950) “Computing machinery and intelligence“: Classical article in AI. –> Turing test. ...
Marieke van Vught – From Mindfulness to
... • Compassion activates a unique set of brain areas associated with reward, cognitive control – and different from empathy (i.e., resonating with another’s feeling) • Empathy activates the pain network artificial intelligence ...
... • Compassion activates a unique set of brain areas associated with reward, cognitive control – and different from empathy (i.e., resonating with another’s feeling) • Empathy activates the pain network artificial intelligence ...
lecture slides 1
... 1. Modeling exactly how humans actually think 2. Modeling exactly how humans actually act 3. Modeling how ideal agents ―should think‖ 4. Modeling how ideal agents ―should act‖ ...
... 1. Modeling exactly how humans actually think 2. Modeling exactly how humans actually act 3. Modeling how ideal agents ―should think‖ 4. Modeling how ideal agents ―should act‖ ...
The Evolution of Artificial Intelligence in Workplaces
... by understanding the world around it. The emergence of AI, combined with deep learning technologies and new business models, is already enabling Konica Minolta to manage information flows in these digital workplaces. ...
... by understanding the world around it. The emergence of AI, combined with deep learning technologies and new business models, is already enabling Konica Minolta to manage information flows in these digital workplaces. ...
Einführung in die Künstliche Intelligenz
... with ~450 rules, it performed better than junior doctors knowledge had to be tediously acquired from experts ...
... with ~450 rules, it performed better than junior doctors knowledge had to be tediously acquired from experts ...
The Legacy of Alan Turing
... a numerical analyst. (Prior to the advent of automatic calculating machines in the 1940s, such work was the lot of many thousands of people in commerce, government, and research establishments.) The Church-Turing thesis properly so called is the assertion that every table of instructions that can be ...
... a numerical analyst. (Prior to the advent of automatic calculating machines in the 1940s, such work was the lot of many thousands of people in commerce, government, and research establishments.) The Church-Turing thesis properly so called is the assertion that every table of instructions that can be ...
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.""↑ ↑ ↑ ↑ ↑ ↑