From Philosophy and Mental-Models to Semantic Desktop research
... second set of whether-possible problems of AI surrounds the nature of rationality. He claims humans constantly evaluate ways of achieving goals and rank them according to various measures such as the probability of success, efficiency and consequences. They evaluate the goals themselves and constant ...
... second set of whether-possible problems of AI surrounds the nature of rationality. He claims humans constantly evaluate ways of achieving goals and rank them according to various measures such as the probability of success, efficiency and consequences. They evaluate the goals themselves and constant ...
Mirror neurons and the 8 parallel consciousnesses
... fish, in whom unconscious attention is needed to focus on some goal (e.g., food) selected by their emotions. In such beings, unconscious memory is needed to store images relating to previous experiences so that they can be recognized, and duly acted upon, at a later date. As we will see, unconscious ...
... fish, in whom unconscious attention is needed to focus on some goal (e.g., food) selected by their emotions. In such beings, unconscious memory is needed to store images relating to previous experiences so that they can be recognized, and duly acted upon, at a later date. As we will see, unconscious ...
Registration Brochure C1 August 19-25, 1995
... Do Evolutionary Algorithms Need Intelligence? The growing use of evolutionary algorithms, random based blind search algorithms, as efficient solvers of complex problems exhibits a growing use of classical, more deterministic, AI paradigms. Is this a message from nature, or a programmers choice made ...
... Do Evolutionary Algorithms Need Intelligence? The growing use of evolutionary algorithms, random based blind search algorithms, as efficient solvers of complex problems exhibits a growing use of classical, more deterministic, AI paradigms. Is this a message from nature, or a programmers choice made ...
Artificial Intelligence Comes of Age
... flowed as federal and corporate funding was slashed, responding to a consensus in tech circles that AI would not work, at least in the ambitious ways previously imagined.3 So-called “AI winters” ensued in the late 1960s and early 1970s and again in the late 1980s, which saw a deep decline in expecta ...
... flowed as federal and corporate funding was slashed, responding to a consensus in tech circles that AI would not work, at least in the ambitious ways previously imagined.3 So-called “AI winters” ensued in the late 1960s and early 1970s and again in the late 1980s, which saw a deep decline in expecta ...
`Music`s Smart Future`
... engage fans. And label A&R and marketing teams are using “big data” analytics to predict Early debate among music commentators consumer reactions and shape campaigns. pitched the merits of human curation against the power of algorithms, but this binary view missed At the BPI we believe that gut inst ...
... engage fans. And label A&R and marketing teams are using “big data” analytics to predict Early debate among music commentators consumer reactions and shape campaigns. pitched the merits of human curation against the power of algorithms, but this binary view missed At the BPI we believe that gut inst ...
Language
... cognition – how information is processed and manipulated when remembering, thinking, and knowing ...
... cognition – how information is processed and manipulated when remembering, thinking, and knowing ...
Decoding visual consciousness from human
... the human brain. It is often assumed that specific contents of consciousness are encoded in dedicated core NCCs – one for each different aspect of conscious experience. Now, the approach of multivariate decoding provides a novel framework for studying the relationship between consciousness and conte ...
... the human brain. It is often assumed that specific contents of consciousness are encoded in dedicated core NCCs – one for each different aspect of conscious experience. Now, the approach of multivariate decoding provides a novel framework for studying the relationship between consciousness and conte ...
Chapter 2 : Cognitive Neuroscience
... • Differs from one culture to another • Critical in one culture may be unimportant in another culture • Measurement of intelligence will be influenced by culture ...
... • Differs from one culture to another • Critical in one culture may be unimportant in another culture • Measurement of intelligence will be influenced by culture ...
Artificial Intelligence
... • If the judge is fooled, then the computer must be intelligent. • Book describes an activity for students to run a Turing test using one of the chatterbots • (not time for us to do it here) ...
... • If the judge is fooled, then the computer must be intelligent. • Book describes an activity for students to run a Turing test using one of the chatterbots • (not time for us to do it here) ...
Computational rationality: A converging paradigm
... Models of computational rationality are built on a base of inferential processes for perceiving, predicting, learning, and reasoning under uncertainty (1–3). Such inferential processes operate on representations that encode probabilistic dependencies among variables capturing the likelihoods of rele ...
... Models of computational rationality are built on a base of inferential processes for perceiving, predicting, learning, and reasoning under uncertainty (1–3). Such inferential processes operate on representations that encode probabilistic dependencies among variables capturing the likelihoods of rele ...
Business Intelligence using Software Agents
... interacts with other agents (including humans) using an agent communication language. In the context of intelligent agents, there are other two interesting properties to be mentioned: Self-analysis – the agent is capable of analyzing and explaining its behavior and of detecting its errors or its suc ...
... interacts with other agents (including humans) using an agent communication language. In the context of intelligent agents, there are other two interesting properties to be mentioned: Self-analysis – the agent is capable of analyzing and explaining its behavior and of detecting its errors or its suc ...
Lecture 9
... Can we build a physical system of any kind (based on electronics, chemistry, etc...) that does everything a human brain can do? Can you think of something human brains do that, so far, has not been accomplished or, at least, approximated by a computer or any other physical (man-made) system? ...
... Can we build a physical system of any kind (based on electronics, chemistry, etc...) that does everything a human brain can do? Can you think of something human brains do that, so far, has not been accomplished or, at least, approximated by a computer or any other physical (man-made) system? ...
Paper Title - Natural Language Server, Jožef Stefan Institute
... combination with ontologies and knowledge bases. It can be argued that even the newest approaches (ChatScript, AIML) are still just a small improvement over the ELIZA pattern matching idea and that the biggest improvement is the amount of scripts written for it. We agree that there is some truth in ...
... combination with ontologies and knowledge bases. It can be argued that even the newest approaches (ChatScript, AIML) are still just a small improvement over the ELIZA pattern matching idea and that the biggest improvement is the amount of scripts written for it. We agree that there is some truth in ...
What`s Hot in Intelligent User Interfaces
... and unable to adapt. The performance metrics used to evaluate these algorithms (e.g., perplexity) are not always consistent with human judgement. To make data analysis more user-friendly, smart interaction techniques such as interactive data visualization are often used. At IUI 2015, we continue to ...
... and unable to adapt. The performance metrics used to evaluate these algorithms (e.g., perplexity) are not always consistent with human judgement. To make data analysis more user-friendly, smart interaction techniques such as interactive data visualization are often used. At IUI 2015, we continue to ...
Applying a natural intelligence pattern in cognitive robots
... organisms’ and human brains function in its calculation algorithms. One of the main applications of Cognitive sciences is in AI (building of human-like computers). From their point of view, human mind is a kind of computer that sends the information received from its sensors (e.g. vision) to its pro ...
... organisms’ and human brains function in its calculation algorithms. One of the main applications of Cognitive sciences is in AI (building of human-like computers). From their point of view, human mind is a kind of computer that sends the information received from its sensors (e.g. vision) to its pro ...
Why Artificial Intelligence is the Future of Growth
... enabled by repeatability at scale. Amelia, like a conscientious employee, recognizes the gaps in her own knowledge and takes steps to close them. If Amelia is presented with a question that she cannot answer, she escalates it to a human colleague, then observes how the person solves the problem. The ...
... enabled by repeatability at scale. Amelia, like a conscientious employee, recognizes the gaps in her own knowledge and takes steps to close them. If Amelia is presented with a question that she cannot answer, she escalates it to a human colleague, then observes how the person solves the problem. The ...
AAAI 2001 Spring Symposium Series Reports
... range of questions from the philosophy of mind about the nature of intentionality. For example, is meaning causally epiphenomenal? Why do we share meanings? Is there really such a thing as intrinsic meaning? One can develop and seek empirical support for philosophical positions by trying to show how ...
... range of questions from the philosophy of mind about the nature of intentionality. For example, is meaning causally epiphenomenal? Why do we share meanings? Is there really such a thing as intrinsic meaning? One can develop and seek empirical support for philosophical positions by trying to show how ...
Machine Learning
... core idea of teaching a computer to learn concepts using data without being explicitly programmed, machine learning what it is and why it matters sas - find out what machine learning is what kinds of algorithms and processes are used and some of the many ways that machine learning is being used toda ...
... core idea of teaching a computer to learn concepts using data without being explicitly programmed, machine learning what it is and why it matters sas - find out what machine learning is what kinds of algorithms and processes are used and some of the many ways that machine learning is being used toda ...
Introduction to Machine Learning 1
... intelligent, a system that is in a changing environment should have the ability to learn. If the system can learn and adapt to such changes, the system designer need not foresee and provide solutions for all possible situations. Machine learning also help us find solutions to may problems in vision, ...
... intelligent, a system that is in a changing environment should have the ability to learn. If the system can learn and adapt to such changes, the system designer need not foresee and provide solutions for all possible situations. Machine learning also help us find solutions to may problems in vision, ...
The man behind the curtain: Overcoming skepticism about creative
... generator, the only way to provide full interactivity was to utilize a human operator using a networked device to ‘respond’ to analogy requests. In our case we actually placed a man behind a curtain – the operator was sitting behind a partition nearby as users participated. In order to ensure consis ...
... generator, the only way to provide full interactivity was to utilize a human operator using a networked device to ‘respond’ to analogy requests. In our case we actually placed a man behind a curtain – the operator was sitting behind a partition nearby as users participated. In order to ensure consis ...
Digital Steganalysis: Computational Intelligence Approach
... technique of hiding information inside a medium such as image [3-7], audio [8-14], and video [15-20]. Several efforts on stegosystem based on technical steganography for hidden and unhidden messages such as StegaMage [21], Steganoflage [22], StegCure [23], Outguess [24], F5 [25], and PQ [26] have al ...
... technique of hiding information inside a medium such as image [3-7], audio [8-14], and video [15-20]. Several efforts on stegosystem based on technical steganography for hidden and unhidden messages such as StegaMage [21], Steganoflage [22], StegCure [23], Outguess [24], F5 [25], and PQ [26] have al ...
chess_ai_history - Computer Science @ Marlboro
... just six years after the first programmable computer, and the very same year Claude Shannon published the first paper on computer chess. Asimov and Shannon shared a similar vision for how robots would emulate human intelligence; each envisioned their machine applying domain knowledge heavily in an e ...
... just six years after the first programmable computer, and the very same year Claude Shannon published the first paper on computer chess. Asimov and Shannon shared a similar vision for how robots would emulate human intelligence; each envisioned their machine applying domain knowledge heavily in an e ...
Towards Adversarial Reasoning in Statistical Relational Domains
... domains. However, many real-world domains also include multiple agents that cooperate or compete according to their diverse goals. In order to handle such domains, an autonomous agent must also consider the actions of other agents. In this paper, we show that existing statistical relational modeling ...
... domains. However, many real-world domains also include multiple agents that cooperate or compete according to their diverse goals. In order to handle such domains, an autonomous agent must also consider the actions of other agents. In this paper, we show that existing statistical relational modeling ...
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.""↑ ↑ ↑ ↑ ↑ ↑