DSTO-TR-2324 PR
... As part of the information fusion task we wish to automatically fuse information derived from the text extraction process with data from a structured knowledge base. This process will involve resolving, aggregating, integrating and abstracting information - via the methodologies of Knowledge Represe ...
... As part of the information fusion task we wish to automatically fuse information derived from the text extraction process with data from a structured knowledge base. This process will involve resolving, aggregating, integrating and abstracting information - via the methodologies of Knowledge Represe ...
Incremental Heuristic Search in AI
... incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccamela, and Nanni 1996; Goto and Sangiovanni-Vin ...
... incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccamela, and Nanni 1996; Goto and Sangiovanni-Vin ...
Farkas Attila Ferenc tézis angol - UNI-NKE
... I fulfilled the targets of my research work with proper methods of investigation. I made an overview of the professional literature focused on expert system in arc welding and robotics among the areas of artificial intelligence. I investigated more detailed within this scope sensor technology that m ...
... I fulfilled the targets of my research work with proper methods of investigation. I made an overview of the professional literature focused on expert system in arc welding and robotics among the areas of artificial intelligence. I investigated more detailed within this scope sensor technology that m ...
Recent Advances in AI for Computational Sustainability
... be surprising to see dynamic variants on corridor design emerge. Moreover, these efforts have developed relatively efficient algorithms that do a good job of approximating the best solutions possible in their ...
... be surprising to see dynamic variants on corridor design emerge. Moreover, these efforts have developed relatively efficient algorithms that do a good job of approximating the best solutions possible in their ...
Learning Abductive Reasoning Using Random Examples
... It is already widely appreciated that learning is a highly effective alternative to explicit knowledge engineering. Indeed, machine learning (e.g., from examples) has been far more effective than traditional knowledge engineering at acquiring robust representations across a variety of domains and ta ...
... It is already widely appreciated that learning is a highly effective alternative to explicit knowledge engineering. Indeed, machine learning (e.g., from examples) has been far more effective than traditional knowledge engineering at acquiring robust representations across a variety of domains and ta ...
Leadership and Emotional Intelligence - WSU Tri
... curves for incoming executives, and tight Training & Development budgets, getting leadership development “right” is essential. “More than any other time in history, we have more generations and cultures having to work together. A manager could easily have three or four ethnicities and generations on ...
... curves for incoming executives, and tight Training & Development budgets, getting leadership development “right” is essential. “More than any other time in history, we have more generations and cultures having to work together. A manager could easily have three or four ethnicities and generations on ...
Using Anytime Algorithms in Intelligent Systems
... Consider, for example, a speech-recognition system whose structure is shown in figure 4. Each box represents an elementary anytime algorithm whose conditional PP is given. The system is composed of three main components: First, the speaker is classified in terms of gender and accent. Then, a recogni ...
... Consider, for example, a speech-recognition system whose structure is shown in figure 4. Each box represents an elementary anytime algorithm whose conditional PP is given. The system is composed of three main components: First, the speaker is classified in terms of gender and accent. Then, a recogni ...
Human-Robot-Communication and Machine Learning
... Agre and Chapman view plans as one among several sources of information for deciding what to do next. They call their approach plan as communication (Agre and Chapman, 1990). Instead of de ning a sequence of xed and deterministic operators, plans just help to decide what's good to reach a given go ...
... Agre and Chapman view plans as one among several sources of information for deciding what to do next. They call their approach plan as communication (Agre and Chapman, 1990). Instead of de ning a sequence of xed and deterministic operators, plans just help to decide what's good to reach a given go ...
ppt
... • In procedural programming, we tell the computer how to solve a problem. • In declarative programming, we tell the computer what problem we want solved. • (However, in Prolog, we are often forced to give clues as to the solution method). ...
... • In procedural programming, we tell the computer how to solve a problem. • In declarative programming, we tell the computer what problem we want solved. • (However, in Prolog, we are often forced to give clues as to the solution method). ...
On the Learnability of Description Logic Programs
... restrictions, which allow to quantify the amount of indeterminism of these relations. However, up to now there are neither practical nor theoretical results concerning learning the Carin-ALN language. This paper is intended to close this gap, by showing how Carin-ALN learning can be embedded into f ...
... restrictions, which allow to quantify the amount of indeterminism of these relations. However, up to now there are neither practical nor theoretical results concerning learning the Carin-ALN language. This paper is intended to close this gap, by showing how Carin-ALN learning can be embedded into f ...
doc - John L. Pollock
... We can think of these considerations as giving us a reason for believing that (under the present circumstances) the object’s looking red does not guarantee that it is red. It will be convenient to symbolize this as “(x looks red) (x is red)”. As was just illustrated, we can discover new probabilis ...
... We can think of these considerations as giving us a reason for believing that (under the present circumstances) the object’s looking red does not guarantee that it is red. It will be convenient to symbolize this as “(x looks red) (x is red)”. As was just illustrated, we can discover new probabilis ...
Vision-Language Integration in AI: a reality check
... will give more accurate specifications for the analysis of information in another medium. Integration takes place mainly when the output of the analysis of one medium is used for constraining or even guiding the analysis of another medium. Most of the systems in this category use natural language de ...
... will give more accurate specifications for the analysis of information in another medium. Integration takes place mainly when the output of the analysis of one medium is used for constraining or even guiding the analysis of another medium. Most of the systems in this category use natural language de ...
Types of Robots
... 1963 - The first artificial robotic arm to be controlled by a computer was designed. The Rancho Arm was designed as a tool for the handicapped and it's six joints gave it the flexibility of a human arm. 1965 - DENDRAL was the first expert system or program designed to execute the accumulated knowled ...
... 1963 - The first artificial robotic arm to be controlled by a computer was designed. The Rancho Arm was designed as a tool for the handicapped and it's six joints gave it the flexibility of a human arm. 1965 - DENDRAL was the first expert system or program designed to execute the accumulated knowled ...
CV - Computer and Information Science | Brooklyn College
... • Liverpool University/EPSRC (September 2006 – September 2007) “Market design game”, $47,588. • NSF (March 2006 – March 2009) (in collaboration with Professor E. Sklar, Professor I Rudowsky and Professor S. Chopra) “BPC: Building a bridge in Brooklyn”, $500,000. • NSF (September 2005 – August 2008) ...
... • Liverpool University/EPSRC (September 2006 – September 2007) “Market design game”, $47,588. • NSF (March 2006 – March 2009) (in collaboration with Professor E. Sklar, Professor I Rudowsky and Professor S. Chopra) “BPC: Building a bridge in Brooklyn”, $500,000. • NSF (September 2005 – August 2008) ...
Guided Incremental Construction of Belief Networks
... repair spaceship). To reason with a lot of general knowledge—imagine a probabilistic knowledge base as large as Cyc! [11]—it helps to be able to work with a plausible subset. But if this subset is selected in advance, we cannot handle situations where implausible rules suddenly become plausible, fo ...
... repair spaceship). To reason with a lot of general knowledge—imagine a probabilistic knowledge base as large as Cyc! [11]—it helps to be able to work with a plausible subset. But if this subset is selected in advance, we cannot handle situations where implausible rules suddenly become plausible, fo ...
information society technologies
... How it is organized (and why it is organized this way); The basis on which it was founded. These will be written one the document is stable. However, here is a start. Computer vision is the science of machines that see. The goal of computer vision is to endow a machine with the ability to understand ...
... How it is organized (and why it is organized this way); The basis on which it was founded. These will be written one the document is stable. However, here is a start. Computer vision is the science of machines that see. The goal of computer vision is to endow a machine with the ability to understand ...
Class Library Implementation of an Open Architecture Knowledge
... At the center of Figure 1 is the implementation of knowledge support systems serving specific user communities and each operating through a particular integration system that draws upon the services of the surrounding application sub-systems. A wide variety of knowledge support systems can be create ...
... At the center of Figure 1 is the implementation of knowledge support systems serving specific user communities and each operating through a particular integration system that draws upon the services of the surrounding application sub-systems. A wide variety of knowledge support systems can be create ...
Learning Domain-Specific Control Knowledge from Random Walks Alan Fern
... We are not aware of prior work that explicitly considers learning control knowledge for the LRW distribution; however, this learning problem is interesting for a number of reasons. First, the LRW-performance goal suggests an automatic and domain-independent strategy for “bootstrapping” the learning ...
... We are not aware of prior work that explicitly considers learning control knowledge for the LRW distribution; however, this learning problem is interesting for a number of reasons. First, the LRW-performance goal suggests an automatic and domain-independent strategy for “bootstrapping” the learning ...
Extending Logic Programs with Description Logic Expressions for
... components: ontologies and rules. Ontologies describe terminological knowledge and rules model constraints and exceptions over the ontologies. Since the two components provide complementary descriptions of the same problem domain, they are supposed to be integrated in some ways (e.g., [1–6]; see [7] ...
... components: ontologies and rules. Ontologies describe terminological knowledge and rules model constraints and exceptions over the ontologies. Since the two components provide complementary descriptions of the same problem domain, they are supposed to be integrated in some ways (e.g., [1–6]; see [7] ...
David C. Parkes - Harvard John A. Paulson School of Engineering
... • Program Co-Chair, 8th ACM Conference on Electronic Commerce (EC’07), June 2007. • Editor, Games and Economic Behavior, with responsibility to Computer Science, Auctions and Mechanism Design, Sept. 2007- present. • Associate Editor, Journal of Autonomous Agents & Multi-Agent Systems, 2007- present. ...
... • Program Co-Chair, 8th ACM Conference on Electronic Commerce (EC’07), June 2007. • Editor, Games and Economic Behavior, with responsibility to Computer Science, Auctions and Mechanism Design, Sept. 2007- present. • Associate Editor, Journal of Autonomous Agents & Multi-Agent Systems, 2007- present. ...
Multi-objective Optimization Using Particle Swarm Optimization
... is a small pos. number) dominating any member of the set P”, then solutions belonging to the set P” constitute a locally Pareto-optimal set. ...
... is a small pos. number) dominating any member of the set P”, then solutions belonging to the set P” constitute a locally Pareto-optimal set. ...
Toward ethical intelligent autonomous healthcare agents: a case
... preferable at any given moment. It is likely that ethical action preference of a large set of actions will need to be defined intensionally in the form of rules as it will be difficult or impossible to define extensionally as an exhaustive list of instances. Since it is only dependent upon a likely ...
... preferable at any given moment. It is likely that ethical action preference of a large set of actions will need to be defined intensionally in the form of rules as it will be difficult or impossible to define extensionally as an exhaustive list of instances. Since it is only dependent upon a likely ...