A Case-Based Reasoning View of Automated Collaborative Filtering
... representation-less view of ACF is unlikely to be pursued in practice. This mistake can be avoided by annotating assets with simple category descriptors in order to allow recommendations to be made in context. Such as simple extension will prevent knitting pattern recommendations leaking into a core ...
... representation-less view of ACF is unlikely to be pursued in practice. This mistake can be avoided by annotating assets with simple category descriptors in order to allow recommendations to be made in context. Such as simple extension will prevent knitting pattern recommendations leaking into a core ...
preprint
... 2009; Cuijpers et al., 2006). These models often perform well at describing and predicting human behavior on small, wellstructured experimental tasks. For instance, Bayesian models have been able to succesfully model human inferences about an agent’s goal in a maze-like structure given the trajector ...
... 2009; Cuijpers et al., 2006). These models often perform well at describing and predicting human behavior on small, wellstructured experimental tasks. For instance, Bayesian models have been able to succesfully model human inferences about an agent’s goal in a maze-like structure given the trajector ...
An Abstract View on Modularity in Knowledge Representation
... Modularity is crucial in design, analysis and reasoning about complex systems. It has long been recognized as one of the key techniques in software development. Modularity has also played an important role in artificial intelligence and, in particular, in knowledge representation and reasoning. Form ...
... Modularity is crucial in design, analysis and reasoning about complex systems. It has long been recognized as one of the key techniques in software development. Modularity has also played an important role in artificial intelligence and, in particular, in knowledge representation and reasoning. Form ...
Knowledge Representation
... poor J. Teresko. Information Rich, Knowledge Poor? Data warehouses transform information into competitive intelligence. Industry Week, 3rd Feb, ...
... poor J. Teresko. Information Rich, Knowledge Poor? Data warehouses transform information into competitive intelligence. Industry Week, 3rd Feb, ...
DEPARTMENT OF CYBERNETICS AND ARTIFICIAL INTELLIGENCE
... Peter Karch. Activity: Project focuses on design of new and modified methods and tools in decision support systems with emphasis on pattern recognition. It includes integrated chain of tasks starting with data acquisition, pre-processing and storing of input data, throughout knowledge discovery, to ...
... Peter Karch. Activity: Project focuses on design of new and modified methods and tools in decision support systems with emphasis on pattern recognition. It includes integrated chain of tasks starting with data acquisition, pre-processing and storing of input data, throughout knowledge discovery, to ...
ibm-cognitive-curriculum-6-6
... blocks of digital cognitive systems: learning, perception, reasoning, interaction, and knowledge. However, to be of value, these building blocks must be assembled into well-designed solutions. These solutions should augment the performance of entities (people and organizations) on realworld processe ...
... blocks of digital cognitive systems: learning, perception, reasoning, interaction, and knowledge. However, to be of value, these building blocks must be assembled into well-designed solutions. These solutions should augment the performance of entities (people and organizations) on realworld processe ...
Investigating Biological Assumptions through Radical
... To appear in: Artificial Life journal. Cambridge, MA: MIT Press, 2014. ...
... To appear in: Artificial Life journal. Cambridge, MA: MIT Press, 2014. ...
Self-Motivating Computational System Cognitive Architecture
... 2 Understanding the Problem Solving 'Strong' AI or AGI (Artificial General Intelligence) is the most important (or at least the hardest) Computer Science problem in the history of computing beyond getting computers working to begin with. That being the case though, it is only incidental to the discu ...
... 2 Understanding the Problem Solving 'Strong' AI or AGI (Artificial General Intelligence) is the most important (or at least the hardest) Computer Science problem in the history of computing beyond getting computers working to begin with. That being the case though, it is only incidental to the discu ...
Using Sentence-Level LSTM Language Models for Script Inference
... of co-occurring event types involving the same entities, and their ability to infer held-out events is not their primary intended purpose (Chambers and Jurafsky, 2008; Ferraro and Van Durme, 2016, inter alia). In the present work, we instead investigate the behavior of systems trained to directly op ...
... of co-occurring event types involving the same entities, and their ability to infer held-out events is not their primary intended purpose (Chambers and Jurafsky, 2008; Ferraro and Van Durme, 2016, inter alia). In the present work, we instead investigate the behavior of systems trained to directly op ...
ni.uni-osnabrueck.de - Cognitive Science
... Grounded theory (GT) is a research method within qualitative research which uses data to derive a theory [9]. It was developed in order to reverse the focus on verification of a theory, instead emphasising the prior stage of discovering which concepts and hypotheses are relevant to a particular area ...
... Grounded theory (GT) is a research method within qualitative research which uses data to derive a theory [9]. It was developed in order to reverse the focus on verification of a theory, instead emphasising the prior stage of discovering which concepts and hypotheses are relevant to a particular area ...
Generation of Macro-operators via Investigation of Actions
... Another way for improving efficiency of planners rests in using macro-actions (or macro-operators) (Korf 1985) that represent sequences of primitive actions. The advantage of using macro-actions is clear - shorter plans are explored to find a solution - and there are some techniques for finding macr ...
... Another way for improving efficiency of planners rests in using macro-actions (or macro-operators) (Korf 1985) that represent sequences of primitive actions. The advantage of using macro-actions is clear - shorter plans are explored to find a solution - and there are some techniques for finding macr ...
Chapter 12
... makes its change and development a slow and expensive process. • The need for rule-based intelligent system that can automate certain decision-making events is necessary. • Rule-based system is a system that allows experts to describe their knowledge in plain English, then converts that description ...
... makes its change and development a slow and expensive process. • The need for rule-based intelligent system that can automate certain decision-making events is necessary. • Rule-based system is a system that allows experts to describe their knowledge in plain English, then converts that description ...
Statistical Causal Inference
... manipulate is to cause. Our purpose, however, is not to provide a reductive definition of causation, but rather to connect it to probability in a way that accords with scientific practice and allows a systematic investigation of causal inference. To manipulate a variable ideally is to change it in a ...
... manipulate is to cause. Our purpose, however, is not to provide a reductive definition of causation, but rather to connect it to probability in a way that accords with scientific practice and allows a systematic investigation of causal inference. To manipulate a variable ideally is to change it in a ...
CS 561a: Introduction to Artificial Intelligence
... • Provides the most general view of AI because it includes: ...
... • Provides the most general view of AI because it includes: ...
A Comparative Utility Analysis of Case
... problem solving utility on some metric by a calculated improvement Fc, but which has the side effect of degrading problem solving utility for another (possibly identical) evaluation metric by some actual amount Fa that outweighs the savings (i.e., Fc
... problem solving utility on some metric by a calculated improvement Fc, but which has the side effect of degrading problem solving utility for another (possibly identical) evaluation metric by some actual amount Fa that outweighs the savings (i.e., Fc
study of difference between forward and backward reasoning
... The inference engine is a computer program designed to produce reasoning on rules. In order to produce reasoning, it should be based on logic. With logic, the engine is able to generate new information from the knowledge contained in the rule base and data to be processed. The engine has two ways to ...
... The inference engine is a computer program designed to produce reasoning on rules. In order to produce reasoning, it should be based on logic. With logic, the engine is able to generate new information from the knowledge contained in the rule base and data to be processed. The engine has two ways to ...
Intelligence in Wikipedia
... but the article simply doesn’t have much information to be extracted. Indeed, a long-tailed distribution governs the length of articles in Wikipedia — around 44% of articles are marked as stub pages — indicating that much-needed information is missing. Additionally, facts that are stated using uncom ...
... but the article simply doesn’t have much information to be extracted. Indeed, a long-tailed distribution governs the length of articles in Wikipedia — around 44% of articles are marked as stub pages — indicating that much-needed information is missing. Additionally, facts that are stated using uncom ...
