Preference Modeling and Preference Elicitation: an - CEUR
... Handling preferences [16] is important in a number of domains, including recommender systems, computational advertisement, personal cognitive assistants, systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some tim ...
... Handling preferences [16] is important in a number of domains, including recommender systems, computational advertisement, personal cognitive assistants, systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some tim ...
MANAGING KNOWLEDGE
... stored in knowledge base – System searches for cases with problem characteristics similar to new one, finds closest fit, and applies solutions of old case to new case – Successful and unsuccessful applications are grouped with case – Stores organizational intelligence: Knowledge base is continuously ...
... stored in knowledge base – System searches for cases with problem characteristics similar to new one, finds closest fit, and applies solutions of old case to new case – Successful and unsuccessful applications are grouped with case – Stores organizational intelligence: Knowledge base is continuously ...
Contextualizing Reflective Dialogue in a Spoken Conversational Tutor
... others than IFETS must be honoured. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from the editors at [email protected]. ...
... others than IFETS must be honoured. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from the editors at [email protected]. ...
Towards Smart User Models for Open Environments
... concerned with how information about users can be acquired by automated systems and with how that information can be used to improve system performance. Our work is concerned with user modelling in open environments. On one hand, User Modelling has its roots in Philosophy and Artificial Intelligence ...
... concerned with how information about users can be acquired by automated systems and with how that information can be used to improve system performance. Our work is concerned with user modelling in open environments. On one hand, User Modelling has its roots in Philosophy and Artificial Intelligence ...
AISB/IACAP World Congress 2012 Natural Computing
... We know that the classical model of computation captures too little of reality: its underlying workings formalise an essentially Newtonian view of physics. Quantum physics allows multiple symbols to be superposed in a single tape position [15], and entangled between positions. General relativity all ...
... We know that the classical model of computation captures too little of reality: its underlying workings formalise an essentially Newtonian view of physics. Quantum physics allows multiple symbols to be superposed in a single tape position [15], and entangled between positions. General relativity all ...
AISB/IACAP World Congress 2012 Natural Computing
... We know that the classical model of computation captures too little of reality: its underlying workings formalise an essentially Newtonian view of physics. Quantum physics allows multiple symbols to be superposed in a single tape position [15], and entangled between positions. General relativity all ...
... We know that the classical model of computation captures too little of reality: its underlying workings formalise an essentially Newtonian view of physics. Quantum physics allows multiple symbols to be superposed in a single tape position [15], and entangled between positions. General relativity all ...
Lynne Hall and Adrian Gordon, A Virtual Learning Environment for
... Lynne Hall and Xavi Bescos, Menu. What menu?, Interacting with Computers, Elsevier Science, 7(4) pp.383-394, 1995. Nicholas Avouris, Marc van Liedekerke, Georgios Lekkas and Lynne Hall, User interface design for cooperating agents in industrial process supervision and control applications, Internati ...
... Lynne Hall and Xavi Bescos, Menu. What menu?, Interacting with Computers, Elsevier Science, 7(4) pp.383-394, 1995. Nicholas Avouris, Marc van Liedekerke, Georgios Lekkas and Lynne Hall, User interface design for cooperating agents in industrial process supervision and control applications, Internati ...
Mapping the Landscape of Human-Level Artificial
... through multiple alternative routes. The final destination, full human-level artificial general intelligence, encompasses a system that could learn, replicate, and possibly exceed humanlevel performance in the full breadth of cognitive and intellectual abilities. The starting point, however, was mor ...
... through multiple alternative routes. The final destination, full human-level artificial general intelligence, encompasses a system that could learn, replicate, and possibly exceed humanlevel performance in the full breadth of cognitive and intellectual abilities. The starting point, however, was mor ...
INFORMATION SYSTEM FOR MANAGERS Lecture * I (Information
... Key Characteristics of OSS The license shall not restrict any party from selling or giving away the software as a component of an aggregate software distribution containing programs from several different sources. The program must include source code and must allow distribution in source code, ...
... Key Characteristics of OSS The license shall not restrict any party from selling or giving away the software as a component of an aggregate software distribution containing programs from several different sources. The program must include source code and must allow distribution in source code, ...
CS Accred Books - Kutztown University
... Artificial intelligence and human reason : a teleological critique / Joseph F. Rychlak. Artificial intelligence : an applications‐oriented approach / Daniel Schutzer Complex systems and cognitive processes / Roberto Serra, Gianni Zanarini. Extending explanation‐based learning by generalizing the str ...
... Artificial intelligence and human reason : a teleological critique / Joseph F. Rychlak. Artificial intelligence : an applications‐oriented approach / Daniel Schutzer Complex systems and cognitive processes / Roberto Serra, Gianni Zanarini. Extending explanation‐based learning by generalizing the str ...
AutoTutor: A tutor with dialogue in natural language
... area for diagrams, but no dialogue history window. The design of AutoTutor was inspired by three bodies of research: theoretical, empirical, and applied. These include explanation-based constructivist theories of learning (Aleven & Koedinger, 2002; Chi, de Leeuw, Chiu, & LaVancher, 1994; VanLehn, Jo ...
... area for diagrams, but no dialogue history window. The design of AutoTutor was inspired by three bodies of research: theoretical, empirical, and applied. These include explanation-based constructivist theories of learning (Aleven & Koedinger, 2002; Chi, de Leeuw, Chiu, & LaVancher, 1994; VanLehn, Jo ...
Computational Generation of Dream-like Narrative
... The machine relies on a large corpus of real, recorded human dream narratives in order to determine the locations, people, objects and concepts that appear in its dreams. The more frequently a person, place or object appears in the corpus, the more likely it will also appear in the machine's dreams. ...
... The machine relies on a large corpus of real, recorded human dream narratives in order to determine the locations, people, objects and concepts that appear in its dreams. The more frequently a person, place or object appears in the corpus, the more likely it will also appear in the machine's dreams. ...
Management Information Systems Chapter 12
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
Compositional Design of a Generic Design Agent
... Pro-activeness and autonomy are related to an agent’s ability to reason about its own processes, goals and plans and to control these processes (own process control, OPC). Reactiveness and social ability are related to the ability to be able to communicate with other agents (agent interaction manage ...
... Pro-activeness and autonomy are related to an agent’s ability to reason about its own processes, goals and plans and to control these processes (own process control, OPC). Reactiveness and social ability are related to the ability to be able to communicate with other agents (agent interaction manage ...
The man behind the curtain: Overcoming skepticism about creative
... with the most common criticism of creative systems – that no matter how creative they may seem, their internal workings could still comprise some form of Searle’s rule-book. The Lovelace Test (Bringsjord, Bello, and Ferrucci 2003) tries to address this issue by dealing with the separation of program ...
... with the most common criticism of creative systems – that no matter how creative they may seem, their internal workings could still comprise some form of Searle’s rule-book. The Lovelace Test (Bringsjord, Bello, and Ferrucci 2003) tries to address this issue by dealing with the separation of program ...
Will machines outsmart man
... itself faster as well. And faster brains also relate to smarter minds; speeding up a whole mind doesn't make it smarter, but adding more processing power to the cognitive processes underlying intelligence is a different matter. But despite the interrelation, the key moment is the rise of smarter-tha ...
... itself faster as well. And faster brains also relate to smarter minds; speeding up a whole mind doesn't make it smarter, but adding more processing power to the cognitive processes underlying intelligence is a different matter. But despite the interrelation, the key moment is the rise of smarter-tha ...
AMC - Queen Mary University of London
... forming a new conceptual space as well. For example, within a particular conceptual space of musical genres, one can discover novel combinations of features to meet an artistic goal, e.g., combining a traditional folk melody with blues harmonization, or generating idiomatic jazz variations of melodi ...
... forming a new conceptual space as well. For example, within a particular conceptual space of musical genres, one can discover novel combinations of features to meet an artistic goal, e.g., combining a traditional folk melody with blues harmonization, or generating idiomatic jazz variations of melodi ...
A Comparison Model for Uncertain Information in
... which extend the expert system reason with. As highlighted in this paper, there are three areas which we have to consider: event, evidence or variable. Even though some researchers claim that one approach deal with everything compared to the other, they should also review their thought based on the ...
... which extend the expert system reason with. As highlighted in this paper, there are three areas which we have to consider: event, evidence or variable. Even though some researchers claim that one approach deal with everything compared to the other, they should also review their thought based on the ...
Chapter 4 Diagnostic Expert Systems: From Expert`s Knowledge to
... (2004), Isermann (2005), Yusong et al (2006), Fekih et al (2006). ...
... (2004), Isermann (2005), Yusong et al (2006), Fekih et al (2006). ...
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us
... Fuzzification of the Golden Ratio Search (and preliminary research on other search algorithms) Fuzzification of Simple Sorting Algorithms ...
... Fuzzification of the Golden Ratio Search (and preliminary research on other search algorithms) Fuzzification of Simple Sorting Algorithms ...
Get Smart: How Intelligent Technology will Enhance
... smart systems. The SQs serve as a guide to organizations for choosing the best system to address their problems. A smart system may exhibit one or a mix of SQs, which are summarized on page 7. The SQs overlap in some ways; for example, a learning system by definition is also an adapting system. As s ...
... smart systems. The SQs serve as a guide to organizations for choosing the best system to address their problems. A smart system may exhibit one or a mix of SQs, which are summarized on page 7. The SQs overlap in some ways; for example, a learning system by definition is also an adapting system. As s ...
Preparation of Papers in Two-Column Format for
... psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion includes a subjective, conscious experience characterized by psychophysiological expressions, biological react ...
... psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion includes a subjective, conscious experience characterized by psychophysiological expressions, biological react ...
A Novel Bayesian Similarity Measure for Recommender Systems
... ratings to determine the concordance, this approach also suffers from the flat-value and single-value problems where user similarity is not computable. Ahn [2008] proposes the PIP measure based on three semantic heuristics: Proximity, Impact and Popularity. PIP attempts to enlarge the discrepancies ...
... ratings to determine the concordance, this approach also suffers from the flat-value and single-value problems where user similarity is not computable. Ahn [2008] proposes the PIP measure based on three semantic heuristics: Proximity, Impact and Popularity. PIP attempts to enlarge the discrepancies ...
In AI application in a real
... The environment can influence the task execution process – truth values may change dynamically, depending on time and events occurring in the environment Time for execution of a tasks is often strictly limited Goals and sub-goals for tasks may be determined dynamically (during the task executi ...
... The environment can influence the task execution process – truth values may change dynamically, depending on time and events occurring in the environment Time for execution of a tasks is often strictly limited Goals and sub-goals for tasks may be determined dynamically (during the task executi ...
- PPT Topics
... (6) KBS as real-world problem solvers - Problem-solving power does not lie with smart reasoning techniques nor clever search algorithms but domain dependent real-world knowledge - Real-world problems do not have well-defined solutions - Expertise not laid down in algorithms but are domain dependent ...
... (6) KBS as real-world problem solvers - Problem-solving power does not lie with smart reasoning techniques nor clever search algorithms but domain dependent real-world knowledge - Real-world problems do not have well-defined solutions - Expertise not laid down in algorithms but are domain dependent ...