Reasoning and learning by analogy: Introduction.
... areas that are more distant cousins, such as categorization and decision making. Modern views of analogy can be traced to such pioneering influences as the philosopher Mary Hesse (1966), whose treatise on analogy in science argued that analogies are powerful forces in discovery and conceptual chang ...
... areas that are more distant cousins, such as categorization and decision making. Modern views of analogy can be traced to such pioneering influences as the philosopher Mary Hesse (1966), whose treatise on analogy in science argued that analogies are powerful forces in discovery and conceptual chang ...
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... action parameter space to form behavior primitives, and explore the environment with these primitives to learn basic object affordances such as graspability, pushability and rollability. After learning, the robot can emulate observed goals by making multi-step plans using the discovered behaviors an ...
... action parameter space to form behavior primitives, and explore the environment with these primitives to learn basic object affordances such as graspability, pushability and rollability. After learning, the robot can emulate observed goals by making multi-step plans using the discovered behaviors an ...
Problem Solving and Search
... State-space graph does not include initial or goal states Search Problem: Given specific initial and goal states, find a path in the graph from an initial to a goal state An instance of a search problem can be represented as a “search tree” whose root note is the initial state Foundations of A ...
... State-space graph does not include initial or goal states Search Problem: Given specific initial and goal states, find a path in the graph from an initial to a goal state An instance of a search problem can be represented as a “search tree” whose root note is the initial state Foundations of A ...
Artificial Intelligence and Responsible Innovation Miles Brundage
... catalyze something that might never have existed otherwise or they make it happen sooner than it otherwise would have. Additionally, there can be indirect effects of the choice of an application domain for developing an AI approach – path dependence may be created with regards to the details of the ...
... catalyze something that might never have existed otherwise or they make it happen sooner than it otherwise would have. Additionally, there can be indirect effects of the choice of an application domain for developing an AI approach – path dependence may be created with regards to the details of the ...
Introduction to Computer Vision
... route out of this quagmire. Techniques such as regularization, sparseness priors, manifold learning, and feature selection, some of which are addressed in this text, are all attempts to deal with this problem. But up to now, they are mostly quite unsatisfying. We still do not understand how humans a ...
... route out of this quagmire. Techniques such as regularization, sparseness priors, manifold learning, and feature selection, some of which are addressed in this text, are all attempts to deal with this problem. But up to now, they are mostly quite unsatisfying. We still do not understand how humans a ...
Agent Shell for the Development of Tutoring Systems for Expert
... The developed methods for building such cognitive assistants have been implemented into a new type of tool, called learning and tutoring agent shell. This shell can be taught by a subject matter expert, and can then teach students in ways that are similar to how it was taught. The shell has been use ...
... The developed methods for building such cognitive assistants have been implemented into a new type of tool, called learning and tutoring agent shell. This shell can be taught by a subject matter expert, and can then teach students in ways that are similar to how it was taught. The shell has been use ...
AMD Newsletter Vol 5, No. 2,
... Which skills most need development? Paul Fitzpatrick, RobotCub humanoid project, University of Genoa, Italy. We know that as adults, every skill we possess arose through an intricate developmental process of interlocking behaviors, innate and learned. Robot abilities are not generally constructed th ...
... Which skills most need development? Paul Fitzpatrick, RobotCub humanoid project, University of Genoa, Italy. We know that as adults, every skill we possess arose through an intricate developmental process of interlocking behaviors, innate and learned. Robot abilities are not generally constructed th ...
Towards a theory of Hybrid Intelligent Autonomous Systems
... truths, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. Fuzzy models can obviously be made to work very well indeed. The big advantage of a fuzzy model is that it is relatively simple to construct and is in itself a simple ...
... truths, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. Fuzzy models can obviously be made to work very well indeed. The big advantage of a fuzzy model is that it is relatively simple to construct and is in itself a simple ...
Synergies Between Symbolic and Sub
... the game of Go used multiple machine learning algorithms for training itself, and also used a sophisticated search procedure while playing the game. Another recent succesful example of integrating symbolic AI (reinforcement learning) and sub-symbolic AI (deep neural networks): Google DeepMind learni ...
... the game of Go used multiple machine learning algorithms for training itself, and also used a sophisticated search procedure while playing the game. Another recent succesful example of integrating symbolic AI (reinforcement learning) and sub-symbolic AI (deep neural networks): Google DeepMind learni ...
Computer Vision and Remote Sensing – Lessons Learned
... DARPA Workshops on Image Understanding. The Computer Vision in the 80’s was driven by the idea to build intelligent seeing machines, on one side dramatically underestimating the complexity of the task, on the other hand motivating a discussion on the theoretical foundations of the discipline. David ...
... DARPA Workshops on Image Understanding. The Computer Vision in the 80’s was driven by the idea to build intelligent seeing machines, on one side dramatically underestimating the complexity of the task, on the other hand motivating a discussion on the theoretical foundations of the discipline. David ...
Joseph Ransdell
... computers that could be shown to involve the rest by implication, but I do not find that this is done satisfactorily. He also frequently mentions the problematics and purposes of user interface design as of the first importance, and that, too, is certainly to the point but also is not itself satisfa ...
... computers that could be shown to involve the rest by implication, but I do not find that this is done satisfactorily. He also frequently mentions the problematics and purposes of user interface design as of the first importance, and that, too, is certainly to the point but also is not itself satisfa ...
Objections, Rebuttals and Refutations
... First, rebuttals are associated with “circumstances in which the general authority of the warrant would have to be set aside” (Toulmin, 1958, 101). Second, rebuttals are “exceptional circumstances which might be capable of defeating or rebutting the warranted conclusion” (Toulmin, 1958, 101). Third, ...
... First, rebuttals are associated with “circumstances in which the general authority of the warrant would have to be set aside” (Toulmin, 1958, 101). Second, rebuttals are “exceptional circumstances which might be capable of defeating or rebutting the warranted conclusion” (Toulmin, 1958, 101). Third, ...
Physical symbol systems - Research Showcase @ CMU
... physical system, though there can be reasons to consider the more general constraint separately. Some of the constraints are familiar back to Aristotle. Others are recent additions. W h o would have thought to add the concern with robustness under error, if computers and their programs had not exhib ...
... physical system, though there can be reasons to consider the more general constraint separately. Some of the constraints are familiar back to Aristotle. Others are recent additions. W h o would have thought to add the concern with robustness under error, if computers and their programs had not exhib ...
Artificial General Intelligence through Large
... Because we are taking a Bayesian approach, our proposed AGI system does make a strict separation between reasoning and learning: it learns by probabilistic inference. But of course, probabilistic inference can be very computationally expensive (a naive approach to answering a query would involve sum ...
... Because we are taking a Bayesian approach, our proposed AGI system does make a strict separation between reasoning and learning: it learns by probabilistic inference. But of course, probabilistic inference can be very computationally expensive (a naive approach to answering a query would involve sum ...
Session 8. Madness and Wisdom
... Anxiety is crucial to our understanding. We go mad or we become wise depending on our ability to handle it. Munch’s painting of The Scream represents the terrible feeling of anxiety – the sense of doom that comes upon us when we feel something is significantly wrong but we have no idea about what it ...
... Anxiety is crucial to our understanding. We go mad or we become wise depending on our ability to handle it. Munch’s painting of The Scream represents the terrible feeling of anxiety – the sense of doom that comes upon us when we feel something is significantly wrong but we have no idea about what it ...
THE USE OF ARTIFICIAL INTELLIGENCE IN DIGITAL FORENSICS
... this mean that when an AI system has been developed to do the task, it is no longer AI?) and are equally unhelpful in this discussion. Therefore in order to simplify the task for the purposes of this article, a pragmatic approach is adopted, and AI is defined as “creating a computer process that act ...
... this mean that when an AI system has been developed to do the task, it is no longer AI?) and are equally unhelpful in this discussion. Therefore in order to simplify the task for the purposes of this article, a pragmatic approach is adopted, and AI is defined as “creating a computer process that act ...
An Emotional Mimicking Humanoid Biped Robot and its Quantum
... acquisition and robot vision algorithms. In this paper we would like to share our experiences on the development of the biped robot current status and future projects. A popular approach to solve many motion planning and knowledge-based behavior problems for humanoid robots is the Constraint Satisfa ...
... acquisition and robot vision algorithms. In this paper we would like to share our experiences on the development of the biped robot current status and future projects. A popular approach to solve many motion planning and knowledge-based behavior problems for humanoid robots is the Constraint Satisfa ...
Computer Vision: history and applications
... means of the interpretation of the acquired images, for example with a camera, the different objects can be recognized in the environment as well as their position in the space. The easiness with which we “see”, brought the first artificial intelligence researchers to start thinking, around 1960, th ...
... means of the interpretation of the acquired images, for example with a camera, the different objects can be recognized in the environment as well as their position in the space. The easiness with which we “see”, brought the first artificial intelligence researchers to start thinking, around 1960, th ...
WIP: Integrating Text and Graphics Design for Adaptive Information
... and graphics. It is a rare instruction manual that does not contain illustrations. Multimodal presentation systems combining natural language and graphics take advantage of both the individual strength of each communication mode and the fact that both modes can be employed in parallel. It is an impo ...
... and graphics. It is a rare instruction manual that does not contain illustrations. Multimodal presentation systems combining natural language and graphics take advantage of both the individual strength of each communication mode and the fact that both modes can be employed in parallel. It is an impo ...
CHAPTER 11 INTELLIGENT SYSTEMS IN BUSINESS Oleh
... Case (continued…) What have we learned from this case?? how an intelligent system solved a difficult business problem by improving the communication and collaboration between the company and its customers the intelligent system solution was integrated with other information technologies (CD-ROM ...
... Case (continued…) What have we learned from this case?? how an intelligent system solved a difficult business problem by improving the communication and collaboration between the company and its customers the intelligent system solution was integrated with other information technologies (CD-ROM ...
R The AAAI 2008 Robotics and Creativity
... and Information Science and Engineering (CISE). This presentation focused on the NSF CreativeIT program, initiated in 2007 and continuing in 2008, which also supports the work of several workshop participants. Dr. Baylor outlined the research areas targeted by the program: understanding of creative ...
... and Information Science and Engineering (CISE). This presentation focused on the NSF CreativeIT program, initiated in 2007 and continuing in 2008, which also supports the work of several workshop participants. Dr. Baylor outlined the research areas targeted by the program: understanding of creative ...
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence
... and a whole range of research issues opened up, with lots of challenges and opportunities for a young researcher. After joining in 1984 the Gesellschaft für Mathematik und Datenverarbeitung (GMD) in St. Augustin, a major research facility on Applied Mathematics and Computer Science in Germany at th ...
... and a whole range of research issues opened up, with lots of challenges and opportunities for a young researcher. After joining in 1984 the Gesellschaft für Mathematik und Datenverarbeitung (GMD) in St. Augustin, a major research facility on Applied Mathematics and Computer Science in Germany at th ...
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.""↑ ↑ ↑ ↑ ↑ ↑