Modelling Morality with Prospective Logic
... • Enable evolving programs to look ahead prospectively its possible future states and to prefer among them to satisfy goals • Working implementation: ACORDA – Based on EVOLP – Benefits from XSB-XASP interface to Smodels ...
... • Enable evolving programs to look ahead prospectively its possible future states and to prefer among them to satisfy goals • Working implementation: ACORDA – Based on EVOLP – Benefits from XSB-XASP interface to Smodels ...
KSU CIS 830: Advanced Topics in Artificial Intelligence What
... New Computational Capability – Database mining: converting (technical) records into knowledge – Self-customizing programs: learning news filters, adaptive monitors – Learning to act: robot planning, control optimization, decision support – Applications that are hard to program: automated driving, sp ...
... New Computational Capability – Database mining: converting (technical) records into knowledge – Self-customizing programs: learning news filters, adaptive monitors – Learning to act: robot planning, control optimization, decision support – Applications that are hard to program: automated driving, sp ...
DFKI and Hitachi jointly develop AI technology for human activity
... This technology is to recognize basic human actions that require arms movements such as “twist” or “push”. This technology extracts the data relating to body actions from the microscopic and instantaneous signals that are measured by sensors attached to the arms. (3) “Hierarchical activity-recogniti ...
... This technology is to recognize basic human actions that require arms movements such as “twist” or “push”. This technology extracts the data relating to body actions from the microscopic and instantaneous signals that are measured by sensors attached to the arms. (3) “Hierarchical activity-recogniti ...
Report on the Twenty-Second International Conference on Case
... operations; the capture of oil drilling problem experiences; sentiment analysis in Amazon product reviews; and the prediction of teen driving behavior. The first invited speaker, Tony Veale from University College Dublin, Ireland, spoke about the paradoxical role of reuse in creativity. The second i ...
... operations; the capture of oil drilling problem experiences; sentiment analysis in Amazon product reviews; and the prediction of teen driving behavior. The first invited speaker, Tony Veale from University College Dublin, Ireland, spoke about the paradoxical role of reuse in creativity. The second i ...
- BTechSpot
... of human-machine interface. Although we often talk (or curse) at our computers, the thought of them talking back to us is somewhat disturbing. The ultimate computer with artificial intelligence was the HAL computer in the science fiction classic. Speech recognition (also known as automatic speech re ...
... of human-machine interface. Although we often talk (or curse) at our computers, the thought of them talking back to us is somewhat disturbing. The ultimate computer with artificial intelligence was the HAL computer in the science fiction classic. Speech recognition (also known as automatic speech re ...
Early Artificial Intelligence Projects
... science fiction than academic research. They prefer to use terms like computational neuroscience or emphasize the particular subset of the field they like semantic logic or machine learning. Nevertheless, the term 'Artificial Intelligence' has gained popular acceptance and graces the names of variou ...
... science fiction than academic research. They prefer to use terms like computational neuroscience or emphasize the particular subset of the field they like semantic logic or machine learning. Nevertheless, the term 'Artificial Intelligence' has gained popular acceptance and graces the names of variou ...
Computational Intelligence and Knowledge
... Relationship to Other Disciplines CI is a very young discipline. Other disciplines as diverse as philosophy, neurobiology, evolutionary biology, psychology, economics, political science, sociology, anthropology, control engineering, and many more have been studying intelligence much longer. We first ...
... Relationship to Other Disciplines CI is a very young discipline. Other disciplines as diverse as philosophy, neurobiology, evolutionary biology, psychology, economics, political science, sociology, anthropology, control engineering, and many more have been studying intelligence much longer. We first ...
The role of AI in Interactive Fiction - The Case of
... drives to satisfy, such as the drives to eat, breed, and avoid pain. Most importantly, norns can learn. Productive skills are reinforced, unused ones fade away. This kind of design characterizes most virtual pets, but Grand also designed a “biochemistry” for his norns that behave much as hormones an ...
... drives to satisfy, such as the drives to eat, breed, and avoid pain. Most importantly, norns can learn. Productive skills are reinforced, unused ones fade away. This kind of design characterizes most virtual pets, but Grand also designed a “biochemistry” for his norns that behave much as hormones an ...
view presentation - The National Academies of Sciences
... R&D investments in foundational technology and applications ...
... R&D investments in foundational technology and applications ...
building the future of finance with ai and machine
... As market participants and service providers consider the best ways to optimise data and compute power, a parallel stream of work must consider how the paradigms of machine learning can be best used to improve the industry. Contributors agreed that while AI may have the ability to transform the way ...
... As market participants and service providers consider the best ways to optimise data and compute power, a parallel stream of work must consider how the paradigms of machine learning can be best used to improve the industry. Contributors agreed that while AI may have the ability to transform the way ...
Making artificial intelligence an everyday reality
... community around deep learning. We were outcast a little bit in the broader machine learning community; we couldn’t get our papers published. This gave us a place where we could exchange ideas.” ...
... community around deep learning. We were outcast a little bit in the broader machine learning community; we couldn’t get our papers published. This gave us a place where we could exchange ideas.” ...
Can Machine Think? - Composing Digital Media
... No pretensions to originate anything Nothing is original Surprises, no creative mental act ...
... No pretensions to originate anything Nothing is original Surprises, no creative mental act ...
Artifical Intelligence - FSU Computer Science
... We assume that intelligent entities have knowledge about their environment. What can we say about such knowledge? What forms can it take? What are its limits? How is it used? How is it acquired? We are beginning to understand how neurons process simple signals, but how the brain processes and re ...
... We assume that intelligent entities have knowledge about their environment. What can we say about such knowledge? What forms can it take? What are its limits? How is it used? How is it acquired? We are beginning to understand how neurons process simple signals, but how the brain processes and re ...
1992-Artificial Intelligence and Molecular Biology
... computer scientists often see this kind of work as too application-oriented, and biologists understandably don’t care as much about the computational method as the biological result. Fortunately this problem seems to be abating. Another challenge is the clash of cultures between biology and AI. For ...
... computer scientists often see this kind of work as too application-oriented, and biologists understandably don’t care as much about the computational method as the biological result. Fortunately this problem seems to be abating. Another challenge is the clash of cultures between biology and AI. For ...
Convergence singularities: As man becomes machine
... issues and takes forward particular ‘what if’ scenarios. However, the research endeavours into AI have been phenomenal [18], possibly tying into some underlying human desires for technology and advancement [15]. In the early computing years the possibility of machines achieving human level intellige ...
... issues and takes forward particular ‘what if’ scenarios. However, the research endeavours into AI have been phenomenal [18], possibly tying into some underlying human desires for technology and advancement [15]. In the early computing years the possibility of machines achieving human level intellige ...
Research and Projects - Personal Home Pages (at UEL)
... Data warehouse and medical informatics etc 8. Using UML, AUML and XML, SOAP to build complex distributed/Internet based applications and solve Business and Engineering issues 9. Network simulation using NS, OPNET, Matlab software 10. Modelling and developing wireless and mobile computing systems ( i ...
... Data warehouse and medical informatics etc 8. Using UML, AUML and XML, SOAP to build complex distributed/Internet based applications and solve Business and Engineering issues 9. Network simulation using NS, OPNET, Matlab software 10. Modelling and developing wireless and mobile computing systems ( i ...
Multitasking and Knowledge Transfer in Evolutionary Computation
... In the field of computational intelligence, the sociologically inspired notion of “memes” has come to be regarded as a unit of cultural information or nugget of knowledge that resides in the brain and is the social analogue of the biological “gene”. From the perspective of scientific usage, it repre ...
... In the field of computational intelligence, the sociologically inspired notion of “memes” has come to be regarded as a unit of cultural information or nugget of knowledge that resides in the brain and is the social analogue of the biological “gene”. From the perspective of scientific usage, it repre ...
Knowledge Based Systems
... Knowledge Based Systems and Artificial Intelligence Intelligent Knowledge Based Systems and Expert Systems ...
... Knowledge Based Systems and Artificial Intelligence Intelligent Knowledge Based Systems and Expert Systems ...
Notes on Artificial Intelligence and Education in The
... If AI has a machine body to dwell within, and the equivalent of a human biological body, so there should be these corresponding faculties within each corpus, and similar interactions with external physical or intellectual ambience should be possible. Of course, androids and cyborgs, when sufficientl ...
... If AI has a machine body to dwell within, and the equivalent of a human biological body, so there should be these corresponding faculties within each corpus, and similar interactions with external physical or intellectual ambience should be possible. Of course, androids and cyborgs, when sufficientl ...
CSC 6800 - College of Engineering
... Examples include: (a) citation of information not taken from the source indicated; (b) listing sources in a bibliography not used in a research paper. Plagiarism: To take and use another’s words or ideas as one’s own. Examples include: (a) failure to use appropriate referencing when using the word ...
... Examples include: (a) citation of information not taken from the source indicated; (b) listing sources in a bibliography not used in a research paper. Plagiarism: To take and use another’s words or ideas as one’s own. Examples include: (a) failure to use appropriate referencing when using the word ...
AI from the Perspective of Cognitive Science
... Give examples of how each makes some knowledge explicit, but leaves others implicit. Give examples of the credit-assignment, grain-size, and right-primitives problem in the context of each method. How can learning take place within each method? Which methods seem most “human” like? What are the main ...
... Give examples of how each makes some knowledge explicit, but leaves others implicit. Give examples of the credit-assignment, grain-size, and right-primitives problem in the context of each method. How can learning take place within each method? Which methods seem most “human” like? What are the main ...
chapter_09
... – Learn or understand from experience – Make sense of ambiguous or contradictory information – Use reasoning to solve problems and make decisions ...
... – Learn or understand from experience – Make sense of ambiguous or contradictory information – Use reasoning to solve problems and make decisions ...
Press Release
... professor in the University of Alberta’s Faculty of Science and principal investigator on the study. “It is the quintessential game of imperfect information in the sense that the players don’t have the same information or share the same perspective while they’re playing.” Don’t let the name fool you ...
... professor in the University of Alberta’s Faculty of Science and principal investigator on the study. “It is the quintessential game of imperfect information in the sense that the players don’t have the same information or share the same perspective while they’re playing.” Don’t let the name fool you ...
Artificial Intelligence Applications in the Atmospheric Environment
... atmospheric chemistry and physics (the "traditional way for modeling AQ") are not able to "catch" all the aspects of the AP problem. Other methods should be employed, that are able to deal with knowledge extraction and management, and are able to map knowledge into the "intelligence" of the algorith ...
... atmospheric chemistry and physics (the "traditional way for modeling AQ") are not able to "catch" all the aspects of the AP problem. Other methods should be employed, that are able to deal with knowledge extraction and management, and are able to map knowledge into the "intelligence" of the algorith ...
Artificial Intelligence: From Programs to Solvers
... a version of the generality problem discussed at length by John McCarthy [40]. This problem was dealt by AI programmers in three different ways. Some narrowed down the domain and scope of the programs so that all the relevant knowledge could be made explicit. This was the ’expert systems’ approach: ...
... a version of the generality problem discussed at length by John McCarthy [40]. This problem was dealt by AI programmers in three different ways. Some narrowed down the domain and scope of the programs so that all the relevant knowledge could be made explicit. This was the ’expert systems’ approach: ...