discintro
... candidate should be a robot that we can see is just one individual autonomous system like ourselves. That way we not only eliminate the possibility of collective play-acting, but we can also test the candidate’s full sensorimotor I/O capacity to confirm that it is indeed completely indistinguishable ...
... candidate should be a robot that we can see is just one individual autonomous system like ourselves. That way we not only eliminate the possibility of collective play-acting, but we can also test the candidate’s full sensorimotor I/O capacity to confirm that it is indeed completely indistinguishable ...
A Glimpse on Gerhard Brewka`s Contributions to Artificial Intelligence
... method of measuring the distance between worlds incorporated no notion of causality and thereby allowed for unintuitive conclusions. In the paper, they put the possible-models approach on a firm semantic basis that is insensitive to syntactic variants of specifications. They also provided an early t ...
... method of measuring the distance between worlds incorporated no notion of causality and thereby allowed for unintuitive conclusions. In the paper, they put the possible-models approach on a firm semantic basis that is insensitive to syntactic variants of specifications. They also provided an early t ...
From Agent Theory to Agent Construction: A Case Study
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
From Agent Theory to Agent Construction: A Case Study
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
... an implemented system and then formalizing the semantics in an agent language which can be viewed as an abstraction of the implemented system, and which allows agent programs to be written and interpreted [26]. Goodwin has also attempted to bridge the gap by providing a formal description in the for ...
Artificial Intelligence
... Asimov’s Three Laws of Robotics: 1. A robot must not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey the orders given it by human beings except where those orders would conflict with the First Law. 3. A robot must protect its own existence, except ...
... Asimov’s Three Laws of Robotics: 1. A robot must not injure a human being or, through inaction, allow a human being to come to harm. 2. A robot must obey the orders given it by human beings except where those orders would conflict with the First Law. 3. A robot must protect its own existence, except ...
77
... classification and regression analysis. The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes the input is a member of, which makes the SVM a non-probabilistic binary linear classifier. Given a set of training examples, each marked as belonging ...
... classification and regression analysis. The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes the input is a member of, which makes the SVM a non-probabilistic binary linear classifier. Given a set of training examples, each marked as belonging ...
Towards Decentralization
... post-planning coordination means that if one agent hits conflict (can’t reach the goals) there are two ways to solve this conflict • each agent formulates not only its expected plan, but also alternative plans to respond to possible contingencies that can arise at execution time • through monitori ...
... post-planning coordination means that if one agent hits conflict (can’t reach the goals) there are two ways to solve this conflict • each agent formulates not only its expected plan, but also alternative plans to respond to possible contingencies that can arise at execution time • through monitori ...
A Machine Learning Approach for Abstraction based on the Idea of
... neuroscience. Computational intelligence (CI) is a subfield of artificial intelligence (AI) and needs further explanation.AI as a whole tries to make systems behave like humans do, whereas CI relies on evolutionary approaches to solve, amongst others, problems suitable for computers, like detecting ...
... neuroscience. Computational intelligence (CI) is a subfield of artificial intelligence (AI) and needs further explanation.AI as a whole tries to make systems behave like humans do, whereas CI relies on evolutionary approaches to solve, amongst others, problems suitable for computers, like detecting ...
Educators` Introduction to Machine Intelligence
... The resources (part 3 in the definition) available to a person certainly include their mind and body. A carpenter typically has a wide range of hand and power tools, along with acquired knowledge and skill in how to use the tools. In this book, we are particularly interested in ICT— especially, AI—a ...
... The resources (part 3 in the definition) available to a person certainly include their mind and body. A carpenter typically has a wide range of hand and power tools, along with acquired knowledge and skill in how to use the tools. In this book, we are particularly interested in ICT— especially, AI—a ...
Cognitive Systems: Argument and Cognition
... reasoning is linked to argumentation, since proof systems like Natural Deduction are known to have a natural argumentative interpretation [7]. Other proposals (see, e.g., [8]) completely abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked n ...
... reasoning is linked to argumentation, since proof systems like Natural Deduction are known to have a natural argumentative interpretation [7]. Other proposals (see, e.g., [8]) completely abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked n ...
singularity hypotheses
... this volume is dedicated to essays which argue that progress in artificial intelligence and machine learning may indeed increase machine intelligence beyond that of any human being. As Alan Turing (1951) observed, ‘‘at some stage therefore we should have to expect the machines to take control, in th ...
... this volume is dedicated to essays which argue that progress in artificial intelligence and machine learning may indeed increase machine intelligence beyond that of any human being. As Alan Turing (1951) observed, ‘‘at some stage therefore we should have to expect the machines to take control, in th ...
Brief Introduction to Educational Implications of Artificial Intelligence
... The resources (part 3 in the definition) available to a person certainly include their mind and body. A carpenter typically has a wide range of hand and power tools, along with acquired knowledge and skill in how to use the tools. In this book, we are particularly interested in ICT— especially, AI—a ...
... The resources (part 3 in the definition) available to a person certainly include their mind and body. A carpenter typically has a wide range of hand and power tools, along with acquired knowledge and skill in how to use the tools. In this book, we are particularly interested in ICT— especially, AI—a ...
call for papers - IUI 2017
... interaction between humans and machines, by leveraging both more traditional HCI approaches, as well as solutions that involve state-of-the art AI techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from ...
... interaction between humans and machines, by leveraging both more traditional HCI approaches, as well as solutions that involve state-of-the art AI techniques such as machine learning, natural language processing, data mining, knowledge representation and reasoning. ACM IUI welcomes contribution from ...
Artificial neural networks – how to open the black boxes?
... A combination of several simple measures enables the analysis of a trained neural network and thus the possibility for an improvement of it. Such way it is possible to open the black box of an artificial neural network (ANN). These are simple in set up, easy to train and deliver quickly well-fitted ...
... A combination of several simple measures enables the analysis of a trained neural network and thus the possibility for an improvement of it. Such way it is possible to open the black box of an artificial neural network (ANN). These are simple in set up, easy to train and deliver quickly well-fitted ...
I A Sensitivity Analysis of Pathfinder
... ity has equal chance of being increased or de creased). A summary of the test results with expert priors is shown in Table 1. In the ta ble, the percentage of correct diagnoses, (i.e., the number of cases in which the known diag nosis was assigned the highest probability di vided by the total nu ...
... ity has equal chance of being increased or de creased). A summary of the test results with expert priors is shown in Table 1. In the ta ble, the percentage of correct diagnoses, (i.e., the number of cases in which the known diag nosis was assigned the highest probability di vided by the total nu ...
using simulation and neural networks to develop a scheduling advisor
... 4.2 Data Collection: Determining the Optimal Inputs in Small Scale Job Shop Problems In order to construct a neural network-scheduling advisor to indicate the position of the job in the queue that must be processed the neural network should be trained using a data set of decisions with the associate ...
... 4.2 Data Collection: Determining the Optimal Inputs in Small Scale Job Shop Problems In order to construct a neural network-scheduling advisor to indicate the position of the job in the queue that must be processed the neural network should be trained using a data set of decisions with the associate ...
The Format of the IJOPCM, first submission
... Time – Delay Single Layer Artificial Neural Network Models for Estimating Shelf Life of Burfi 1. Introduction Artificial neural network (ANN) consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases an ANN i ...
... Time – Delay Single Layer Artificial Neural Network Models for Estimating Shelf Life of Burfi 1. Introduction Artificial neural network (ANN) consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases an ANN i ...
AAAI Proceedings Template - Advances in Cognitive Systems
... Research Center, and other groups in the 1950s and 1960s, many of the devices we take for granted today were invented as “augmentation” tools including: the mouse, interactive graphical displays, keyboards, trackballs, WYSIWYG software, email, word processing, and the Internet. However, while making ...
... Research Center, and other groups in the 1950s and 1960s, many of the devices we take for granted today were invented as “augmentation” tools including: the mouse, interactive graphical displays, keyboards, trackballs, WYSIWYG software, email, word processing, and the Internet. However, while making ...
Measuring an Artificial Intelligence System`s Performance on a
... There has long been a feeling that there are some general reasoning and/or verbal tasks that average human children can perform but that AI systems cannot as yet perform. This general idea has appeared in the AI literature from the 1950s until today. In particular, in the late 1950s John McCarthy’s ...
... There has long been a feeling that there are some general reasoning and/or verbal tasks that average human children can perform but that AI systems cannot as yet perform. This general idea has appeared in the AI literature from the 1950s until today. In particular, in the late 1950s John McCarthy’s ...
Crowdsourcing, Open Innovation and Collective
... Chesbrough provides an example in the consumer sector where a form of Crowdsourcing (in this case, he calls it “open innovation”) has proven successful and which seems to be applicable to fundamental research as well: “In 1999, Procter & Gamble decided to change its approach to innovation. The firm ...
... Chesbrough provides an example in the consumer sector where a form of Crowdsourcing (in this case, he calls it “open innovation”) has proven successful and which seems to be applicable to fundamental research as well: “In 1999, Procter & Gamble decided to change its approach to innovation. The firm ...
Economic reasoning and artificial intelligence
... note the irony in the prospect that social science theories may turn out to apply with greater fidelity to nonhuman agent behavior. Reasoning about other agents The issue of agent theorizing is not merely academic. If we can build one AI agent, then we can build many, and these AIs will need to reas ...
... note the irony in the prospect that social science theories may turn out to apply with greater fidelity to nonhuman agent behavior. Reasoning about other agents The issue of agent theorizing is not merely academic. If we can build one AI agent, then we can build many, and these AIs will need to reas ...
Economic reasoning and artificial intelligence
... note the irony in the prospect that social science theories may turn out to apply with greater fidelity to nonhuman agent behavior. Reasoning about other agents The issue of agent theorizing is not merely academic. If we can build one AI agent, then we can build many, and these AIs will need to reas ...
... note the irony in the prospect that social science theories may turn out to apply with greater fidelity to nonhuman agent behavior. Reasoning about other agents The issue of agent theorizing is not merely academic. If we can build one AI agent, then we can build many, and these AIs will need to reas ...
Computational Models of Narrative: Review of the Workshop
... arratives are ubiquitous in human experience. We use them to entertain, communicate, convince, and explain. One workshop participant noted that “as far as I know, every society in the world has stories, which suggests they have a psychological basis, that stories do something for you.” To truly unde ...
... arratives are ubiquitous in human experience. We use them to entertain, communicate, convince, and explain. One workshop participant noted that “as far as I know, every society in the world has stories, which suggests they have a psychological basis, that stories do something for you.” To truly unde ...
marked - Kansas State University
... Remove from G any hypothesis that is less general than another hypothesis in G (remove any dominating elements) ...
... Remove from G any hypothesis that is less general than another hypothesis in G (remove any dominating elements) ...