Empathetic Superintelligence
... tests lack ecological validity because they ignore social cognition – the “mindreading” prowess that enabled one species of social primate to become the most cognitively successful on the planet. In this talk, I shall examine how to correct the ethnocentric and anthropocentric biases of our perspect ...
... tests lack ecological validity because they ignore social cognition – the “mindreading” prowess that enabled one species of social primate to become the most cognitively successful on the planet. In this talk, I shall examine how to correct the ethnocentric and anthropocentric biases of our perspect ...
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... Movie Artificial Intelligence by Steven Spielberg Five year studies at universities of Utrecht, Amsterdam, Groningen and Maastricht ...
... Movie Artificial Intelligence by Steven Spielberg Five year studies at universities of Utrecht, Amsterdam, Groningen and Maastricht ...
Artificial Intelligence Problem-Solving Agent Example of a “toy
... Does a breadth-first search at all possible depths ● Combines benefits of depth-first and breadth-first search ● Seems very inefficient because some states are expanded multiple times (but in fact is not inefficient) ...
... Does a breadth-first search at all possible depths ● Combines benefits of depth-first and breadth-first search ● Seems very inefficient because some states are expanded multiple times (but in fact is not inefficient) ...
Neuroanatomical correlates of intelligence
... brain to some degree: For example, increased gray matter might indicate more or increased density of neurons or glial cells which could allow more efficient information processing. This may lead to improved cognitive function and account for the observed positive correlations between gray matter and ...
... brain to some degree: For example, increased gray matter might indicate more or increased density of neurons or glial cells which could allow more efficient information processing. This may lead to improved cognitive function and account for the observed positive correlations between gray matter and ...
Preface May 1996 marks the tenth anniversary of ... That f’n’st workshop was hosted by the Qualitative ...
... ten years, the workshop has also changed its name from the Qualitative Physics workshop, to the International Workshopon Qualitative Reasoning about Physical Systems, and most recently to the International Workshopon Qualitative Reasoning. These namechangesreflect the community’sbroadeninginterest i ...
... ten years, the workshop has also changed its name from the Qualitative Physics workshop, to the International Workshopon Qualitative Reasoning about Physical Systems, and most recently to the International Workshopon Qualitative Reasoning. These namechangesreflect the community’sbroadeninginterest i ...
robot
... no supervision by people. Those that can work completely by themselves are called autonomous. Others are remote controlled by humans and are called teleoperated machines. ...
... no supervision by people. Those that can work completely by themselves are called autonomous. Others are remote controlled by humans and are called teleoperated machines. ...
Intelligent Mobile Robotics
... Robots are becoming a prevalent part of our society. There are industrial robots such as welding robots in manufacturing plants, service robots such as robotic rescue workers, exploration robots such as the Mars Rover, and entertainment robots such as AIBO. An “intelligent mobile robot” is an integr ...
... Robots are becoming a prevalent part of our society. There are industrial robots such as welding robots in manufacturing plants, service robots such as robotic rescue workers, exploration robots such as the Mars Rover, and entertainment robots such as AIBO. An “intelligent mobile robot” is an integr ...
Lecture 6
... • Intelligent behaviour (among other things) requires the ability to plan and to learn. The routine implementation of these abilities is a long way off, so they are rarely seen in computer games. Rather, what we do see is the incorporation of simple and robust techniques from AI that make it easier ...
... • Intelligent behaviour (among other things) requires the ability to plan and to learn. The routine implementation of these abilities is a long way off, so they are rarely seen in computer games. Rather, what we do see is the incorporation of simple and robust techniques from AI that make it easier ...
Testimony - Eric Horvitz
... A simple definition of AI, drawn from a 1955 proposal that kicked off the modern field of AI, is pursuing how “to solve the kinds of problems now reserved for humans.”1 The authors of the founding proposal on AI also mentioned, “We think that a significant advance can be made in one or more of these ...
... A simple definition of AI, drawn from a 1955 proposal that kicked off the modern field of AI, is pursuing how “to solve the kinds of problems now reserved for humans.”1 The authors of the founding proposal on AI also mentioned, “We think that a significant advance can be made in one or more of these ...
Signature Based Malware Detection is Dead
... Signatures and heuristics require the creation of a specific identifier, which attackers can easily evade by mutating their malware. Behavioral analysis depends upon allowing the malware to execute in order to pre-determine its functionality, and then on assuming that it always functions in the same ...
... Signatures and heuristics require the creation of a specific identifier, which attackers can easily evade by mutating their malware. Behavioral analysis depends upon allowing the malware to execute in order to pre-determine its functionality, and then on assuming that it always functions in the same ...
1.5 Impact of emerging technologies
... Artificial intelligence (AI) is computer systems that can simulate human intelligence (able to make decisions typically made by a human). • The PR2 robot is being programmed to complete a number of specific tasks just like a human. • Deep Blue was a chess-playing computer developed by IBM. It is kno ...
... Artificial intelligence (AI) is computer systems that can simulate human intelligence (able to make decisions typically made by a human). • The PR2 robot is being programmed to complete a number of specific tasks just like a human. • Deep Blue was a chess-playing computer developed by IBM. It is kno ...
Artificial Intelligence
... set of syntactic rules be said to understand Chinese? – How many rules will the agent need to have for the thought experiment to be convincing? ...
... set of syntactic rules be said to understand Chinese? – How many rules will the agent need to have for the thought experiment to be convincing? ...
Artificial Intelligence
... Should do whatever action is expected to maximize its performance measure based on percept sequence and whatever build-in knowledge the agent has ...
... Should do whatever action is expected to maximize its performance measure based on percept sequence and whatever build-in knowledge the agent has ...
slides - AGI conferences
... Gust, H. & Kühnberger, K.-U. (2006). Explaining Effective Learning by Analogical Reasoning, in: R. Sun & N. Miyake (eds.): 28th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, pp. 14171422. Gust, H., Krumnack, U., Kühnberger, K.-U. & Schwering, A. (2007). An Approach to the Sem ...
... Gust, H. & Kühnberger, K.-U. (2006). Explaining Effective Learning by Analogical Reasoning, in: R. Sun & N. Miyake (eds.): 28th Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, pp. 14171422. Gust, H., Krumnack, U., Kühnberger, K.-U. & Schwering, A. (2007). An Approach to the Sem ...
History of LISP - Computer and Information Science | Brooklyn College
... A programming system called LISP (for LISt Processor) has been developed for the IBM 704 computer by the Artificial Intelligence group at M.I.T. The system was designed to facilitate experiments with a proposed system called the Advice Taker, whereby a machine could be instructed to handle declarati ...
... A programming system called LISP (for LISt Processor) has been developed for the IBM 704 computer by the Artificial Intelligence group at M.I.T. The system was designed to facilitate experiments with a proposed system called the Advice Taker, whereby a machine could be instructed to handle declarati ...
Introduction to the transactions on interactive intelligent systems
... (1) TiiS is the only journal that explicitly encourages and supports the perspectives on interactive intelligent systems illustrated in Figure 1, and its editors and reviewers have the knowledge and interests that are required to do justice to articles from all of these perspectives. Hence TiiS enab ...
... (1) TiiS is the only journal that explicitly encourages and supports the perspectives on interactive intelligent systems illustrated in Figure 1, and its editors and reviewers have the knowledge and interests that are required to do justice to articles from all of these perspectives. Hence TiiS enab ...
WHAT TO DO - Cognizant
... This is where many people get stuck. They start tumbling down existential wormholes: Will machines need us? Who will control the machines? Will machines act in the best interests of humanity? Again, these are great questions that prompt fascinating discussions, all of which we like having as much as ...
... This is where many people get stuck. They start tumbling down existential wormholes: Will machines need us? Who will control the machines? Will machines act in the best interests of humanity? Again, these are great questions that prompt fascinating discussions, all of which we like having as much as ...
File - Md. Mahbubul Alam, PhD
... Intelligence and knowledge are tightly intertwined. Knowledge is associated with cognitive symbols. Intelligence refers to our ability to learn and communicate in order to solve problems. “The science that provides computers with the ability to represent and manipulate symbols so they can be used to ...
... Intelligence and knowledge are tightly intertwined. Knowledge is associated with cognitive symbols. Intelligence refers to our ability to learn and communicate in order to solve problems. “The science that provides computers with the ability to represent and manipulate symbols so they can be used to ...
Contributions to artificial intelligence: the IIIA perspective
... analysis, synthesis and transformation, in computational linguistics, artificial intelligence, etc. However, from the computational point of view, this is not an easy problem. It is well known that the problem of deciding if a given formula is a tautology in propositional logic gave rise to the firs ...
... analysis, synthesis and transformation, in computational linguistics, artificial intelligence, etc. However, from the computational point of view, this is not an easy problem. It is well known that the problem of deciding if a given formula is a tautology in propositional logic gave rise to the firs ...
Anatomy
... Some view A.L.I.C.E. and AIML as a simple extension of the old ELIZA psychiatrist program. The comparison is fair regarding the stimulus-response architecture. But the A.L.I.C.E. bot has at present more than 40,000 categories of knowledge, whereas the original ELIZA had only about 200. Another innov ...
... Some view A.L.I.C.E. and AIML as a simple extension of the old ELIZA psychiatrist program. The comparison is fair regarding the stimulus-response architecture. But the A.L.I.C.E. bot has at present more than 40,000 categories of knowledge, whereas the original ELIZA had only about 200. Another innov ...
An Ontology-Based Symbol Grounding System for Human
... This paper has discussed perceptual anchoring and its potential to enable HRI via symbolic representations of objects. The work presented here is a first step towards enabling perceptual anchoring to operate with larger symbolic (semantic) models such as ontologies, with a focus on large scale and l ...
... This paper has discussed perceptual anchoring and its potential to enable HRI via symbolic representations of objects. The work presented here is a first step towards enabling perceptual anchoring to operate with larger symbolic (semantic) models such as ontologies, with a focus on large scale and l ...
Chapter 5 - Dr. Djamel Bouchaffra
... (Robot travel fast near the top of the stairs! It might fall down…) – Information can be valuable because it leads to better decisions: value of information ...
... (Robot travel fast near the top of the stairs! It might fall down…) – Information can be valuable because it leads to better decisions: value of information ...
Quality – An Inherent Aspect of Agile Software Development
... This figure illustrates how nodes operate in a hierarchy; we show a two-level network and its associated inputs for three time steps. This network is constructed for illustrative purposes and is not the result of a real learning process. The outputs of the nodes are represented using an array of rec ...
... This figure illustrates how nodes operate in a hierarchy; we show a two-level network and its associated inputs for three time steps. This network is constructed for illustrative purposes and is not the result of a real learning process. The outputs of the nodes are represented using an array of rec ...
CDMTCS Research Report Series META
... intellectual step forward into the computer age.1 He then proves that there are things which cannot be computed. Turing does this by making brilliant use of Cantor’s diagonal argument from set theory applied to the list of all computable real numbers. This gives Turing an uncomputable real number R∗ ...
... intellectual step forward into the computer age.1 He then proves that there are things which cannot be computed. Turing does this by making brilliant use of Cantor’s diagonal argument from set theory applied to the list of all computable real numbers. This gives Turing an uncomputable real number R∗ ...
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.""↑ ↑ ↑ ↑ ↑ ↑