
Introduction to Computer Science
... •With the traditional approach to software development where specifications (what the software is supposed to do) is determined at the start and fixed throughout the project. •With extreme programming specifications can and will change. - (It’s argued that it’s impossible to correctly envision all t ...
... •With the traditional approach to software development where specifications (what the software is supposed to do) is determined at the start and fixed throughout the project. •With extreme programming specifications can and will change. - (It’s argued that it’s impossible to correctly envision all t ...
A proposal of a novel model for Artificial Intelligence Planning
... systems are used Planning is – given what to do (goals) , determine how (and when) to do it (plan). Intelligence without representation:The present intelligence representation should be decomposed into independent & parallel activity that can interface through perception.[3].Artificial intelligence ...
... systems are used Planning is – given what to do (goals) , determine how (and when) to do it (plan). Intelligence without representation:The present intelligence representation should be decomposed into independent & parallel activity that can interface through perception.[3].Artificial intelligence ...
Systems Intelligence .(English)
... variables controlling such invisible parts • To understand the system, it can be more important to know what is not produced than what the standard output is • A Systems Intelligent approach acknowledges and aims to identify and understand both the visible and invisible part of the system and find i ...
... variables controlling such invisible parts • To understand the system, it can be more important to know what is not produced than what the standard output is • A Systems Intelligent approach acknowledges and aims to identify and understand both the visible and invisible part of the system and find i ...
Social Situatedness: Vygotsky and Beyond
... He argued that a child merely can imitate what is within its zone of proximal development, and if a caregiver presents a too advanced solution to a problem, the child could not grasp the solution, even if the solution was presented repeatedly. The child can therefore only ‘imitate’ and adopt a solut ...
... He argued that a child merely can imitate what is within its zone of proximal development, and if a caregiver presents a too advanced solution to a problem, the child could not grasp the solution, even if the solution was presented repeatedly. The child can therefore only ‘imitate’ and adopt a solut ...
Artificial Intelligence and Pro-Social Behaviour
... theoretical requirement of intelligence, but rather indicates that I am limiting my consideration to what also might be called cognitive systems (Vernon et al., 2007). It means that the agent exists in a dynamic environment, and can express action quickly enough that that action is generally still a ...
... theoretical requirement of intelligence, but rather indicates that I am limiting my consideration to what also might be called cognitive systems (Vernon et al., 2007). It means that the agent exists in a dynamic environment, and can express action quickly enough that that action is generally still a ...
intelligent robots: the question of embodiment
... approaches. Lakoff et al. argue that our ability to understand and reason abstractly relies heavily on our bodily experience and that “high level” intelligence depends crucially on embodiment [15] [25]. Based on the argument of movement, manipulation and perception involving the use of recurring pat ...
... approaches. Lakoff et al. argue that our ability to understand and reason abstractly relies heavily on our bodily experience and that “high level” intelligence depends crucially on embodiment [15] [25]. Based on the argument of movement, manipulation and perception involving the use of recurring pat ...
A Neural Model of Rule Generation in Inductive Reasoning
... already taken). Once they have generated their hypothesis as to what the blank cell should look like, they can check for a match among the eight possible answers. Not all subjects will explicitly generate these exact rules, and their route to the answer may be more roundabout, but they do need to ex ...
... already taken). Once they have generated their hypothesis as to what the blank cell should look like, they can check for a match among the eight possible answers. Not all subjects will explicitly generate these exact rules, and their route to the answer may be more roundabout, but they do need to ex ...
Artificial Intelligence
... on the idea that you could extract from humans who were really proficient in an area their expertise, and if you had this expertise, with almost any reasonable inference mechanism you could implement the expertise as a series of deductive rules of one sort or another. If people were already solving ...
... on the idea that you could extract from humans who were really proficient in an area their expertise, and if you had this expertise, with almost any reasonable inference mechanism you could implement the expertise as a series of deductive rules of one sort or another. If people were already solving ...
laser - kdevlin.com
... • The interrogator asks questions of the machine and person questions via a text terminal ...
... • The interrogator asks questions of the machine and person questions via a text terminal ...
Metropolis 1927 - David Gardiner
... No separate instructions (program): the instructions are written-in to the architecture of the system and are subject to continuous reappraisal Individual operations take place many millions of times more slowly Beyond the Human Era: Speculations on the Evolution of Mind ...
... No separate instructions (program): the instructions are written-in to the architecture of the system and are subject to continuous reappraisal Individual operations take place many millions of times more slowly Beyond the Human Era: Speculations on the Evolution of Mind ...
PREDICTING DEVELOPMENT OF RESEARCH IN MUSIC BASED ON
... Current research in music concentrates around Music Information Retrieval, both for the signal and symbolic music representations. In most cases it deals on basic issues how computers should deal with music data in general. The level of music interpretation does not go into semantics, probably becau ...
... Current research in music concentrates around Music Information Retrieval, both for the signal and symbolic music representations. In most cases it deals on basic issues how computers should deal with music data in general. The level of music interpretation does not go into semantics, probably becau ...
1 HUBERT L. DREYFUS Curriculum Vitae Department of
... Vernunft, Alexandre Métraux and Bernhard Waldenfels, Eds., (Fink Verlag, 1986). 56. "Why Studies of Human Capacities Modeled on Ideal Science Can Never Achieve Their Goal", Rationality, Relativism and The Human Sciences, J. Margolis, M. Krauz and R.M. Burian, Eds, (Martinus Nijhoff Publishers, 1986) ...
... Vernunft, Alexandre Métraux and Bernhard Waldenfels, Eds., (Fink Verlag, 1986). 56. "Why Studies of Human Capacities Modeled on Ideal Science Can Never Achieve Their Goal", Rationality, Relativism and The Human Sciences, J. Margolis, M. Krauz and R.M. Burian, Eds, (Martinus Nijhoff Publishers, 1986) ...
The differences between Sentiment Analysis and Artificial
... Thus, a 70% accurate program is doing nearly as well as humans, even though such accuracy may not sound impressive. If a program were "right" 100% of the time, humans would still disagree with it about 20% of the time, since they disagree that much about any answer .[2] More sophisticated measures ...
... Thus, a 70% accurate program is doing nearly as well as humans, even though such accuracy may not sound impressive. If a program were "right" 100% of the time, humans would still disagree with it about 20% of the time, since they disagree that much about any answer .[2] More sophisticated measures ...
- Lorentz Center
... ([US PATENT AG06F1900FI] Solomon Research); individual customers influence on the operation of virtual power plants (Britta [MVV Energie]); stochastic diffusion search for real-time web search (Hameed); swarm intelligence systems for transportation engineering: principles and applications (Teodorovi ...
... ([US PATENT AG06F1900FI] Solomon Research); individual customers influence on the operation of virtual power plants (Britta [MVV Energie]); stochastic diffusion search for real-time web search (Hameed); swarm intelligence systems for transportation engineering: principles and applications (Teodorovi ...
Vita - CIS Users web server
... June 2010 – Present: Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2009 – June 2010: Acting Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2003 – August 2009: Research assistant for Pedro Dom ...
... June 2010 – Present: Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2009 – June 2010: Acting Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2003 – August 2009: Research assistant for Pedro Dom ...
Syddansk Universitet The Issue of Moral Consideration in
... agency and responsibility to them, a next reasonable step would be to discuss if the time has come where we ought to discuss whether robots are worthy of moral consideration? Among others, Gunkel thinks the answer to that question might be a yes. In The Machine Question – Critical Perspectives on AI ...
... agency and responsibility to them, a next reasonable step would be to discuss if the time has come where we ought to discuss whether robots are worthy of moral consideration? Among others, Gunkel thinks the answer to that question might be a yes. In The Machine Question – Critical Perspectives on AI ...
A Machine Learning Approach for Abstraction based on the Idea of
... data. Besides conventional, statistical functions as correlation and regression, methods from signal theory, pattern recognition, clustering, computational neuroscience, fuzzy systems, evolutionary algorithms, swarm intelligence and machine learning are applied [3]. Especially computationally intell ...
... data. Besides conventional, statistical functions as correlation and regression, methods from signal theory, pattern recognition, clustering, computational neuroscience, fuzzy systems, evolutionary algorithms, swarm intelligence and machine learning are applied [3]. Especially computationally intell ...
AI_lecture1_einatbac..
... Underlying Hypothesis • Physical Symbol Hypothesis (Newell) : A physical symbol system has the necessary and sufficient means for intelligent action. This hypothesis means that we can hope to implement this in the computer. • Note : Use of term “intelligent action” not “intelligence”. Compare with ...
... Underlying Hypothesis • Physical Symbol Hypothesis (Newell) : A physical symbol system has the necessary and sufficient means for intelligent action. This hypothesis means that we can hope to implement this in the computer. • Note : Use of term “intelligent action” not “intelligence”. Compare with ...
A synopsis of “Philosophy of Computing and Information Technology”
... artificial agents. We conclude this chapter with a discussion of the (potential) social impact of AI as well as the way in which AI research has shed new light on notions like ‘risk’, ‘responsibility’ ...
... artificial agents. We conclude this chapter with a discussion of the (potential) social impact of AI as well as the way in which AI research has shed new light on notions like ‘risk’, ‘responsibility’ ...
Management Information Systems
... Other Artificial Intelligence Applications • Genetic algorithm: approach to solving large, complex problems in which a number of related operations or models change and evolve until the best one emerges • Intelligent agent: programs and a knowledge base used to perform a specific task for a person, ...
... Other Artificial Intelligence Applications • Genetic algorithm: approach to solving large, complex problems in which a number of related operations or models change and evolve until the best one emerges • Intelligent agent: programs and a knowledge base used to perform a specific task for a person, ...
AAAI-16 Exhibitor Information
... On behalf of AAAI, we invite you to exhibit at the Thirtieth AAAI Conference on Artificial Intelligence to be held February 12 – 17, 2016 in Phoenix, Arizona, USA. Each year the AAAI conference brings together about 1,200 AI researchers and practitioners from around the world. Your participation at ...
... On behalf of AAAI, we invite you to exhibit at the Thirtieth AAAI Conference on Artificial Intelligence to be held February 12 – 17, 2016 in Phoenix, Arizona, USA. Each year the AAAI conference brings together about 1,200 AI researchers and practitioners from around the world. Your participation at ...
Definition of a `Robot`
... As a baby, your brain had to figure out exactly the right combination of muscle contractions to walk upright without falling over. Similarly, a robot designer has to figure out the right combination of piston movements involved in walking and program this information into the robot's computer. Many ...
... As a baby, your brain had to figure out exactly the right combination of muscle contractions to walk upright without falling over. Similarly, a robot designer has to figure out the right combination of piston movements involved in walking and program this information into the robot's computer. Many ...
Extending Universal Intelligence Models with Formal Notion of
... independent subtasks. Residual mutual information between these subtasks can be taken into account by adaptive resonance models, which also have the informationtheoretic formalization [5]. In this paper, we consider application of the RMDL principle as an unavoidable meta-heuristic for the model of ...
... independent subtasks. Residual mutual information between these subtasks can be taken into account by adaptive resonance models, which also have the informationtheoretic formalization [5]. In this paper, we consider application of the RMDL principle as an unavoidable meta-heuristic for the model of ...
Developing Effective Robot Teammates for Human
... Task Comprehension By leveraging a combination of kinesthetically trained dynamic movement primitives (DMPs), Partially Observable Markov Decision Processes (POMDPs), and Active Learning, we develop a robot capable of learning hierarchical task networks (HTNs). While collaborating, maintaining situa ...
... Task Comprehension By leveraging a combination of kinesthetically trained dynamic movement primitives (DMPs), Partially Observable Markov Decision Processes (POMDPs), and Active Learning, we develop a robot capable of learning hierarchical task networks (HTNs). While collaborating, maintaining situa ...
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.""↑ ↑ ↑ ↑ ↑ ↑