artificial intelligence applications especially the neural networks use
... Models which can forecast following of traffic signs by driver can be used as a part in Intelligent transport system (ITS) or ATS. 5.4. Systems for advising maintenance and repair of paths and roads can foresee problems on the roads caused by weather or abrasion ITS and ATS need to have such parts w ...
... Models which can forecast following of traffic signs by driver can be used as a part in Intelligent transport system (ITS) or ATS. 5.4. Systems for advising maintenance and repair of paths and roads can foresee problems on the roads caused by weather or abrasion ITS and ATS need to have such parts w ...
A. M. Turing
... human mind. If some ideas are innate (and so do not need to be derived from experience), then it follows that the mind already has a relatively rich, inherent structure, one that in turn limits the malleability of the mind in light of experience. As mentioned, classic rationalists made the claim tha ...
... human mind. If some ideas are innate (and so do not need to be derived from experience), then it follows that the mind already has a relatively rich, inherent structure, one that in turn limits the malleability of the mind in light of experience. As mentioned, classic rationalists made the claim tha ...
egpai 2016 - ECAI 2016
... Perhaps a good start to understand the history of machine intelligence would be to take a look back at the imitation game [43] proposed by Turing in the 1950s where the idea is to have one or more human judges interrogating a program through an interface, and the program is considered intelligent if ...
... Perhaps a good start to understand the history of machine intelligence would be to take a look back at the imitation game [43] proposed by Turing in the 1950s where the idea is to have one or more human judges interrogating a program through an interface, and the program is considered intelligent if ...
AAAI-15 Sponsor Program Austin, Texas, USA January 25-29, 2015
... On behalf of the Conference Committee of the Twenty-Ninth AAAI Conference on Artificial Intelligence, we invite you to participate in the sponsor program for AAAI-15. The conference will be held January 25-29, 2015 in Austin, Texas, USA, and is sponsored by the Association for the Advancement of Art ...
... On behalf of the Conference Committee of the Twenty-Ninth AAAI Conference on Artificial Intelligence, we invite you to participate in the sponsor program for AAAI-15. The conference will be held January 25-29, 2015 in Austin, Texas, USA, and is sponsored by the Association for the Advancement of Art ...
Intelligence: Real and Artificial
... The Turing Test • How to tell if a computer is intelligent? • Use the Turing test – Boston Computer Museum 1991 test ...
... The Turing Test • How to tell if a computer is intelligent? • Use the Turing test – Boston Computer Museum 1991 test ...
Toward a Large-Scale Characterization of the Learning Chain Reaction
... be viewed as an operational definition of certain key aspects of the human learning ability that needs to be replicated in artifacts: in particular, scalability, robustness, cross-domain transferability, and most importantly, its metacognitive nature. This paradigm will also allow experimenters to m ...
... be viewed as an operational definition of certain key aspects of the human learning ability that needs to be replicated in artifacts: in particular, scalability, robustness, cross-domain transferability, and most importantly, its metacognitive nature. This paradigm will also allow experimenters to m ...
ICDM_05_yakhnenko
... Results – time/space • Generative Markov model needs one pass through training data • SVM needs several passes through data – Needs kernel computation – May not be feasible to compute kernel matrix for k > 3 – If kernel is computed as needed, can significantly slow down one iteration ...
... Results – time/space • Generative Markov model needs one pass through training data • SVM needs several passes through data – Needs kernel computation – May not be feasible to compute kernel matrix for k > 3 – If kernel is computed as needed, can significantly slow down one iteration ...
Convergence of Software Science and Computational Intelligence:
... knowledge were reported and then disappeared over time. For example, there are tons of empirical knowledge on software engineering published each year in the last decades. However, those that would be included in a textbook on software engineering theories as proven and general truth, rather than sp ...
... knowledge were reported and then disappeared over time. For example, there are tons of empirical knowledge on software engineering published each year in the last decades. However, those that would be included in a textbook on software engineering theories as proven and general truth, rather than sp ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
... The MGLAIR (Multimodal Grounded Layered Architecture with Integrated Reasoning) cognitive agent architecture extends the GLAIR architecture [1] to include a model of concurrent multimodal perception and action. Of central importance to MGLAIR is its treatment of afferent and efferent modalities as ins ...
... The MGLAIR (Multimodal Grounded Layered Architecture with Integrated Reasoning) cognitive agent architecture extends the GLAIR architecture [1] to include a model of concurrent multimodal perception and action. Of central importance to MGLAIR is its treatment of afferent and efferent modalities as ins ...
MS PowerPoint 97 format
... tournament selection) • Crossover: combine individuals to generate new ones • Mutation: stochastic, localized modification to individuals – Simulated annealing: can be defined as genetic algorithm • Selection, mutation only • Simple SA: single-point population (serial trajectory) • More on this next ...
... tournament selection) • Crossover: combine individuals to generate new ones • Mutation: stochastic, localized modification to individuals – Simulated annealing: can be defined as genetic algorithm • Selection, mutation only • Simple SA: single-point population (serial trajectory) • More on this next ...
What is Intelligence? - Cornell Computer Science
... It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover their ability to do these things is going to increase rapidly until – in the visible future – the range of problems tha ...
... It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover their ability to do these things is going to increase rapidly until – in the visible future – the range of problems tha ...
The Drake Equation - d
... How do scientists justify the assumptions they use to make estimates? ...
... How do scientists justify the assumptions they use to make estimates? ...
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial
... Eric Horvitz is a principal researcher and research area manager at Microsoft Research. He has had a lifelong interest in perception, reasoning, and action under uncertainty. He has pursued insights about intelligence via studies of inference and decision making under limited and varying computation ...
... Eric Horvitz is a principal researcher and research area manager at Microsoft Research. He has had a lifelong interest in perception, reasoning, and action under uncertainty. He has pursued insights about intelligence via studies of inference and decision making under limited and varying computation ...
Class Notes # 1: Overview - School of Electrical Engineering and
... Systems that act like humans E. Rich & K. Knight (1991) AI is the study of how to make computers do things which, at the moment, people do better: • perception, • communication, • reasoning, • learning, • planning. CSI 4106, Winter 2005 ...
... Systems that act like humans E. Rich & K. Knight (1991) AI is the study of how to make computers do things which, at the moment, people do better: • perception, • communication, • reasoning, • learning, • planning. CSI 4106, Winter 2005 ...
Artificial Intelligence - International Journal of Computer Applications
... be perceived differently by different stakeholders). Existing risk management methods may not provide support for dealing with these differences. Risks may also affect a project in more than one way. For example, most risk management approaches focus on cost, schedule or quality risks, but there may ...
... be perceived differently by different stakeholders). Existing risk management methods may not provide support for dealing with these differences. Risks may also affect a project in more than one way. For example, most risk management approaches focus on cost, schedule or quality risks, but there may ...
LOGIC PROGRAMMING - University College Dublin
... In his PUP6 system an agent was represented by a 'Being' which had to comply with a predefined structure. It consisted of a fixed number of 'parts', each part representing a question that the ks may be equipped to answer. If a part contained a value then the being is sufficiently knowledgeable with ...
... In his PUP6 system an agent was represented by a 'Being' which had to comply with a predefined structure. It consisted of a fixed number of 'parts', each part representing a question that the ks may be equipped to answer. If a part contained a value then the being is sufficiently knowledgeable with ...
Adapting to Human Game Play - Computer Science and Software
... research conducted. Our goal requires that the human rules have to be obtained from game play with, and added to, the currently evolving system. Other relevant research by Ponsen et al [10], [11], [12] extends the dynamic scripting method developed by Pieter Spronck et al [13], [14], [15] for RTS ga ...
... research conducted. Our goal requires that the human rules have to be obtained from game play with, and added to, the currently evolving system. Other relevant research by Ponsen et al [10], [11], [12] extends the dynamic scripting method developed by Pieter Spronck et al [13], [14], [15] for RTS ga ...
Finite-time Analysis of the Multiarmed Bandit Problem*
... is the Kullback-Leibler divergence between the reward density p j of any suboptimal machine j and the reward density p ∗ of the machine with highest reward expectation µ∗ . Hence, under these policies the optimal machine is played exponentially more often than any other machine, at least asymptotica ...
... is the Kullback-Leibler divergence between the reward density p j of any suboptimal machine j and the reward density p ∗ of the machine with highest reward expectation µ∗ . Hence, under these policies the optimal machine is played exponentially more often than any other machine, at least asymptotica ...
AI100 presentation at IJCAI 2015
... advances in competencies and uses of AI systems that make inferences and take actions in the world. • What uses of AI might be considered unethical? • What ethical questions arise from the use of autonomous decision systems in such high-stakes areas as healthcare and transportation? ...
... advances in competencies and uses of AI systems that make inferences and take actions in the world. • What uses of AI might be considered unethical? • What ethical questions arise from the use of autonomous decision systems in such high-stakes areas as healthcare and transportation? ...
Functionalism According to functionalism, the essential or defining
... nature on which our introspective identification of those states depends; while also insisting that (2) such intrinsic natures are nevertheless not essential to the type-identity of a given mental state, and may indeed vary from instance to instance of the same type of mental state. What this means ...
... nature on which our introspective identification of those states depends; while also insisting that (2) such intrinsic natures are nevertheless not essential to the type-identity of a given mental state, and may indeed vary from instance to instance of the same type of mental state. What this means ...
PPT
... system can undergo a ‘graceful degradation’ when one or more agents fail. Scalability and flexibility, since it is easy to add new agents to the system. Cost, assuming that an agent is a low-cost unit compared to the ...
... system can undergo a ‘graceful degradation’ when one or more agents fail. Scalability and flexibility, since it is easy to add new agents to the system. Cost, assuming that an agent is a low-cost unit compared to the ...
this PDF file - BRAIN. Broad Research in Artificial
... density of clusters, occurrence of local minima of the log likelihood, and their sensitiveness to initialization of model parameters, for example the mean and the std. deviation in case of the Gaussian mixtures [4]. Several stochastic models have been reported to deal with the limitations of the gen ...
... density of clusters, occurrence of local minima of the log likelihood, and their sensitiveness to initialization of model parameters, for example the mean and the std. deviation in case of the Gaussian mixtures [4]. Several stochastic models have been reported to deal with the limitations of the gen ...
machine ethics and robot ethics
... Scientific discovery and technological innovation are producing, and will continue to generate, a truly broad array of tools and techniques, each of which offers benefits while posing societal and ethical challenges. These emerging technologies include (but are not limited to) information technology ...
... Scientific discovery and technological innovation are producing, and will continue to generate, a truly broad array of tools and techniques, each of which offers benefits while posing societal and ethical challenges. These emerging technologies include (but are not limited to) information technology ...
15.2 ARTIFICIAL INTELLIGENCE (p. 464)
... 2. It’s usually the case that the less structure the problem has, the more you’re likely to agonize over the decision, especially if the decision is very important. 3. Also, point out the different approaches to decision making. Management theory says it’s a four step process: intelligence, design, ...
... 2. It’s usually the case that the less structure the problem has, the more you’re likely to agonize over the decision, especially if the decision is very important. 3. Also, point out the different approaches to decision making. Management theory says it’s a four step process: intelligence, design, ...
Special issue: Computational intelligence models for image
... Abstract. Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabil ...
... Abstract. Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabil ...
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.""↑ ↑ ↑ ↑ ↑ ↑