The Rise of Granular Computing - University of Regina
... systems, to investigate computing and information processing that are responsible for perception, thinking, learning, reasoning, communication, action, evolution and more [25]. A theory of human intelligence must contain explanations at multiple levels. One may study the brain by focusing on neurons ...
... systems, to investigate computing and information processing that are responsible for perception, thinking, learning, reasoning, communication, action, evolution and more [25]. A theory of human intelligence must contain explanations at multiple levels. One may study the brain by focusing on neurons ...
Artificial Intelligence: a Promised Land for Web Services
... them well suited for handling cross-organisational decision making. For example, agents can be used to (re)negotiate contracts which would then require: determination of which processes are needed to fulfil the contract; creation of new business processes; and adaptation of existing business process ...
... them well suited for handling cross-organisational decision making. For example, agents can be used to (re)negotiate contracts which would then require: determination of which processes are needed to fulfil the contract; creation of new business processes; and adaptation of existing business process ...
Knowledge
... contexts. The assertions can be related to one another, and each holds true only in certain contexts. – Based on your understanding of CYC, which categorization effects are utilized in the construction of the contexts: prototype effects, classical categorization theory, polysemy. ...
... contexts. The assertions can be related to one another, and each holds true only in certain contexts. – Based on your understanding of CYC, which categorization effects are utilized in the construction of the contexts: prototype effects, classical categorization theory, polysemy. ...
Managing the Digital Firm
... executive in charge of the organization's knowledge management program ...
... executive in charge of the organization's knowledge management program ...
Limits of the human model in understanding artificial Intelligence
... Another subset of architectures consists of self-improving minds. Such minds are capable of examining their own design and finding improvements in their embodiment, algorithms or knowledgebases which will allow the mind to more efficiently perform desired operations [29]. It is very likely that poss ...
... Another subset of architectures consists of self-improving minds. Such minds are capable of examining their own design and finding improvements in their embodiment, algorithms or knowledgebases which will allow the mind to more efficiently perform desired operations [29]. It is very likely that poss ...
Beyond AI: Artificial Golem Intelligence
... cross out the first word and stay with “Is AGI a holy grail of the AI field?”. I personally think that it is. My professional background is applied AI and I can honestly testify that it is a truly intoxicating feeling when you (with a cunning Hephaestus’ smile on your lips) make a sophisticated gizm ...
... cross out the first word and stay with “Is AGI a holy grail of the AI field?”. I personally think that it is. My professional background is applied AI and I can honestly testify that it is a truly intoxicating feeling when you (with a cunning Hephaestus’ smile on your lips) make a sophisticated gizm ...
View CV - Learning Research and Development Center (LRDC)
... Learning Research and Development Center Internal Grant entitled “Improving Learning from Peer Review with NLP and ITS techniques” ($150,000) 2009-2010. With Chris Schunn and Diane Litman. Learning Research and Development Center Internal Grant entitled “Measuring Classroom Discussions in Mathematic ...
... Learning Research and Development Center Internal Grant entitled “Improving Learning from Peer Review with NLP and ITS techniques” ($150,000) 2009-2010. With Chris Schunn and Diane Litman. Learning Research and Development Center Internal Grant entitled “Measuring Classroom Discussions in Mathematic ...
Contextual Reasoning - Homepages of UvA/FNWI staff
... Scientific and Technological Research (IRST) in Trento, Italy. Ever since its outset in the late 1980’s, fundamental AI research on contextual reasoning has always been pursued most notably by two prominent research groups: one at Stanford, conducted by John McCarthy, and one in Trento, led by Faust ...
... Scientific and Technological Research (IRST) in Trento, Italy. Ever since its outset in the late 1980’s, fundamental AI research on contextual reasoning has always been pursued most notably by two prominent research groups: one at Stanford, conducted by John McCarthy, and one in Trento, led by Faust ...
Mario Alberto Garcia Espinosa
... Graduate: COSC 5311 Fundamentals in Programming and Problem Solving I; COSC 5312 Fundamentals in Programming and Problem Solving II; COSC 5320 Design and Implementation of Computer Instructional Systems; COSC 5321 Data Structures; COSC 5325 Foundations of Software Engineering; Advanced Software Engi ...
... Graduate: COSC 5311 Fundamentals in Programming and Problem Solving I; COSC 5312 Fundamentals in Programming and Problem Solving II; COSC 5320 Design and Implementation of Computer Instructional Systems; COSC 5321 Data Structures; COSC 5325 Foundations of Software Engineering; Advanced Software Engi ...
ai-ready or not: artificial intelligence here we
... AI-Ready or Not: Artificial Intelligence Here We Come! What Consumers Think & What Marketers Need to Know ...
... AI-Ready or Not: Artificial Intelligence Here We Come! What Consumers Think & What Marketers Need to Know ...
Execution monitoring in robotics: A survey
... Abstract Research on execution monitoring in its own is still not very common within the field of robotics and autonomous systems. It is more common that researchers interested in control architectures or execution planning include monitoring as a small part of their work when they realize that it i ...
... Abstract Research on execution monitoring in its own is still not very common within the field of robotics and autonomous systems. It is more common that researchers interested in control architectures or execution planning include monitoring as a small part of their work when they realize that it i ...
IEEE Transactions on Evolutionary Computation Special Issue on
... scheduling, etc), routing (multicast routing and variants of vehicle routing problems) and bin packing (2D or strip packing, etc), space allocation, and so on. Variants of each of these problems, although classified under the same problem, often have widely differing constraints and problem features ...
... scheduling, etc), routing (multicast routing and variants of vehicle routing problems) and bin packing (2D or strip packing, etc), space allocation, and so on. Variants of each of these problems, although classified under the same problem, often have widely differing constraints and problem features ...
Converging on the Divergent: - Computational Creativity Group
... that a formal definition of creativity—and our inability to find one that satisfies everybody—has been the elephant in the room at all of the computational creativity workshops to date. Many hours have been spent in argument about what does and does not constitute creativity. Fortunately, these argumen ...
... that a formal definition of creativity—and our inability to find one that satisfies everybody—has been the elephant in the room at all of the computational creativity workshops to date. Many hours have been spent in argument about what does and does not constitute creativity. Fortunately, these argumen ...
Dr. Person′s Curriculum Vitae
... Graesser, A.C., Person, N., Harter, D., & TRG (2001). Teaching tactics and dialog in AutoTutor. International Journal of Artificial Intelligence in Education, 12, 257-279. Jackson, T., Mueller, J., Person, N., & Graesser, A.C. (2001). Assessing the pedagogical effectiveness and conversational approp ...
... Graesser, A.C., Person, N., Harter, D., & TRG (2001). Teaching tactics and dialog in AutoTutor. International Journal of Artificial Intelligence in Education, 12, 257-279. Jackson, T., Mueller, J., Person, N., & Graesser, A.C. (2001). Assessing the pedagogical effectiveness and conversational approp ...
Analysis of Machine Learning Techniques for Intrusion Detection
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
... Intrusions. There are many machine learning techniques used in Intrusion Detection System and they comprised single, hybrid and ensemble classifiers. Many resources have been used on various machine learning techniques. These techniques work very well for IDS but it is known that there is not even a ...
egpai 2016 - ECAI 2016
... Abstract. In our recent work on the measurement of (collective) intelligence, we used a dynamic intelligence test to measure and compare the performances of artificial agents. In this paper we give a detailed technical description of the testing framework, its design and implementation, showing how ...
... Abstract. In our recent work on the measurement of (collective) intelligence, we used a dynamic intelligence test to measure and compare the performances of artificial agents. In this paper we give a detailed technical description of the testing framework, its design and implementation, showing how ...
The Comparison between Forward and Backward Chaining
... necessary. The system searches its rules, and if the goal not has been previously proved, it looks for one or more that contains the goal in its THEN part. This kind of rule is called a goal rule, 2) the system then checks to see if the goal rule’s premises are listed in the memory. If the premises ...
... necessary. The system searches its rules, and if the goal not has been previously proved, it looks for one or more that contains the goal in its THEN part. This kind of rule is called a goal rule, 2) the system then checks to see if the goal rule’s premises are listed in the memory. If the premises ...
Cardoso, A., Veale, T., Wiggins, G.
... fundamental inability to pin it down in formal terms. Ask most people the question “what is creativity?” and you are more likely to elicit an anecdote, an aphorism, or a metaphor, than you are a literal definition, least of all a definition that can contribute to the construction of a convincing com ...
... fundamental inability to pin it down in formal terms. Ask most people the question “what is creativity?” and you are more likely to elicit an anecdote, an aphorism, or a metaphor, than you are a literal definition, least of all a definition that can contribute to the construction of a convincing com ...
Profiles in Innovation: Artificial Intelligence
... creation of new companies that will, in turn, drive substantial innovation and value creation through, at the very least, M&A, though we certainly wouldn’t dismiss the potential for a “Google or Facebook of AI” to emerge. In the following pages we delve into AI the technology, its history, the ecosy ...
... creation of new companies that will, in turn, drive substantial innovation and value creation through, at the very least, M&A, though we certainly wouldn’t dismiss the potential for a “Google or Facebook of AI” to emerge. In the following pages we delve into AI the technology, its history, the ecosy ...
Blackwell Guide to the Philosophy of Computing and
... through computational models. Despite these similarities, there is an important difference between the modeling strategies artificial intelligence and artificial life typically employ. Most traditional AI models are top-down-specified serial systems involving a complicated, centralized controller th ...
... through computational models. Despite these similarities, there is an important difference between the modeling strategies artificial intelligence and artificial life typically employ. Most traditional AI models are top-down-specified serial systems involving a complicated, centralized controller th ...
4. - DROPS
... tiles remain that represent the original connected components. For finding paths subject to given time and path quality constraints, we choose an abstraction layer and find nodes representing the start and endpoints on the original map. Starting at this level, PRA*(k) uses A* to compute the shortest ...
... tiles remain that represent the original connected components. For finding paths subject to given time and path quality constraints, we choose an abstraction layer and find nodes representing the start and endpoints on the original map. Starting at this level, PRA*(k) uses A* to compute the shortest ...
important questions in part-a and answers...
... Give an example of each. Strategic models support top management's strategic planning. For example, examination of acquisitions, diversifications, and mergers. Tactical models support mainly middle management in resource allocation and in control. For example, make or buy decisions or devising a maj ...
... Give an example of each. Strategic models support top management's strategic planning. For example, examination of acquisitions, diversifications, and mergers. Tactical models support mainly middle management in resource allocation and in control. For example, make or buy decisions or devising a maj ...