cached
... reasoning (CCBR) is incremental query elaboration, which is the process of maximizing the extraction of relevant problem state information throughout the querying process. Several companies and researchers have addressed this problem (e.g., by dynamically applying domain-specific plans (Carrick et a ...
... reasoning (CCBR) is incremental query elaboration, which is the process of maximizing the extraction of relevant problem state information throughout the querying process. Several companies and researchers have addressed this problem (e.g., by dynamically applying domain-specific plans (Carrick et a ...
The Project ENTs: Towards Modeling Human
... c) Due to complexity of h-agents’ mind, programmers or designers sometimes need to prototype it (it means to test several approaches and choose the best one). Languages like C++ or Java are not a good tool for prototyping. d) Researchers and programmers must often focus on supplementary low-level is ...
... c) Due to complexity of h-agents’ mind, programmers or designers sometimes need to prototype it (it means to test several approaches and choose the best one). Languages like C++ or Java are not a good tool for prototyping. d) Researchers and programmers must often focus on supplementary low-level is ...
Book Recommending Using Text Categorization
... feature extraction and selection should be conducted. An experimental comparison of utilizing extracted information to simply using entire pages would be useful in demonstrating the utility of the overall informationextraction approach. Combining information about an item extracted from multiple sou ...
... feature extraction and selection should be conducted. An experimental comparison of utilizing extracted information to simply using entire pages would be useful in demonstrating the utility of the overall informationextraction approach. Combining information about an item extracted from multiple sou ...
Explaining the Ineffable
... Let me start with the process of human thinking that is usually called "intuition." Before we can do research on intuition, we have to know what it is; in particular, we must have some operational definition that tells us when intuition is being exhibited by a human being and when it is not. It is n ...
... Let me start with the process of human thinking that is usually called "intuition." Before we can do research on intuition, we have to know what it is; in particular, we must have some operational definition that tells us when intuition is being exhibited by a human being and when it is not. It is n ...
Towards a Cognitive Architecture for Music Perception
... in terms of the language of geometry. In particular, inspired by many empirical investigations on the perception of tones (see Oxenham [21] for a review) we adopt as a knoxel of a music conceptual space the set of partials of a perceived tone. A knoxel k of the music CS is therefore a vector of the ...
... in terms of the language of geometry. In particular, inspired by many empirical investigations on the perception of tones (see Oxenham [21] for a review) we adopt as a knoxel of a music conceptual space the set of partials of a perceived tone. A knoxel k of the music CS is therefore a vector of the ...
WHAT IS ARTIFICIAL INTELLIGENCE? Cognitive simulation
... Given the goal to implement rational action in a complex environment, as in each part. . . ...
... Given the goal to implement rational action in a complex environment, as in each part. . . ...
Affordances for robots: a brief survey
... needs to carry out. In traditional deliberative systems (Maes 1991), these are modeled as distinct components, typically activated in cycles with a linear sense-plan-act sequence (Gat 1998). This methodology has allowed for fairly independent development of the three components, especially domain-in ...
... needs to carry out. In traditional deliberative systems (Maes 1991), these are modeled as distinct components, typically activated in cycles with a linear sense-plan-act sequence (Gat 1998). This methodology has allowed for fairly independent development of the three components, especially domain-in ...
Intelligible AI Planning - Artificial Intelligence Applications Institute
... plan representations and hierarchical task networks (HTN) and which still allow the use of powerful constraint representations and solvers. The field of Artificial Intelligence planning – that is, reasoning about the activity necessary to achieve stated goals – has a long and distinguished history ( ...
... plan representations and hierarchical task networks (HTN) and which still allow the use of powerful constraint representations and solvers. The field of Artificial Intelligence planning – that is, reasoning about the activity necessary to achieve stated goals – has a long and distinguished history ( ...
Principles of Information Systems, Ninth Edition
... Principles and Learning Objectives (continued) • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial int ...
... Principles and Learning Objectives (continued) • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems – Define the term artificial intelligence and state the objective of developing artificial int ...
soft computing and hybrid ai approaches to intelligent manufacturing
... GAs’ application to scheduling is published by Davis [1]. The representation and GA operators suggested by him are memory-intensive and provide solution for a limited set of problems giving the opportunity to improvement. Although Davis called the attention to the fact that most of real-life schedul ...
... GAs’ application to scheduling is published by Davis [1]. The representation and GA operators suggested by him are memory-intensive and provide solution for a limited set of problems giving the opportunity to improvement. Although Davis called the attention to the fact that most of real-life schedul ...
Tuesday - UT School of Information - The University of Texas at Austin
... materials, we should be able to capture a picture of the overall AI landscape very early. You need not prepare handouts or bibliographies for the class; you may use the computer-projector to point out features of your selection. The third oral report should focus on reference resources, which descri ...
... materials, we should be able to capture a picture of the overall AI landscape very early. You need not prepare handouts or bibliographies for the class; you may use the computer-projector to point out features of your selection. The third oral report should focus on reference resources, which descri ...
now
... Understand possible decision support system (DSS) configurations Understand the key differences and similarities between DSS and BI systems Describe DSS characteristics and capabilities Understand the essential definition of DSS Understand important DSS classifications Understand DSS components and ...
... Understand possible decision support system (DSS) configurations Understand the key differences and similarities between DSS and BI systems Describe DSS characteristics and capabilities Understand the essential definition of DSS Understand important DSS classifications Understand DSS components and ...
Vincent C. Müller Is There A Future For AI Without Representation?
... models of the world …” (Brooks 1991a, sect. 6.3). So the distinction is not representation or none, but representations vs. central representations. In his section “5.1. No representation versus no central representation”, Brooks backtracks slightly, however: “We do claim however, that there need be ...
... models of the world …” (Brooks 1991a, sect. 6.3). So the distinction is not representation or none, but representations vs. central representations. In his section “5.1. No representation versus no central representation”, Brooks backtracks slightly, however: “We do claim however, that there need be ...
John McCarthy defines artificial intelligence as
... Warren McCulloch and Walter Pitts were two people who designed the first mathematical models of neural networks. This is interesting from an AI perspective because neural networks model biological neural networks that process information that can lead to computation of some sort. 8. On top of page 9 ...
... Warren McCulloch and Walter Pitts were two people who designed the first mathematical models of neural networks. This is interesting from an AI perspective because neural networks model biological neural networks that process information that can lead to computation of some sort. 8. On top of page 9 ...
Evaluation of Intelligent Tutoring Systems:Instruction and
... for forming computer systems which lead to students while learning is being implemented and which students are more active in instruction have been carried out. By this way, since teachers care students when they need, the time that teachers give each student will increase. The most basic problem to ...
... for forming computer systems which lead to students while learning is being implemented and which students are more active in instruction have been carried out. By this way, since teachers care students when they need, the time that teachers give each student will increase. The most basic problem to ...
Scripts and Behaviors
... pawn is playing. – good for multiplayer situations because each client just looks at the motion of a given pawn to see what animation should be playing; no extra information needs to be transmitted. ...
... pawn is playing. – good for multiplayer situations because each client just looks at the motion of a given pawn to see what animation should be playing; no extra information needs to be transmitted. ...
knowledge base
... intelligence problem solving was found to be much more difficult than originally anticipated. Scientists could not get computers to solve problems that were routinely solved by human experts. Therefore, scientists instead started to investigate the development of artificial intelligence applications ...
... intelligence problem solving was found to be much more difficult than originally anticipated. Scientists could not get computers to solve problems that were routinely solved by human experts. Therefore, scientists instead started to investigate the development of artificial intelligence applications ...
SOFT COMPUTING AND HYBRID AI APPROACHES TO
... GAs’ application to scheduling is published by Davis [1?]. The representation and GA operators suggested by him are memory-intensive and provide solution for a limited set of problems giving the opportunity to improvement. Although Davis called the attention to the fact that most of real-life schedu ...
... GAs’ application to scheduling is published by Davis [1?]. The representation and GA operators suggested by him are memory-intensive and provide solution for a limited set of problems giving the opportunity to improvement. Although Davis called the attention to the fact that most of real-life schedu ...
Verification, Validation and Evaluation of Expert Systems in Order to
... competent specialists that may be able to achieve the same thinking and intuition performances as human experts. The main factor of intelligent processing consists in artificial judgment able to imitate human judgment. Expert systems are being used to replace human experts in order to support the pr ...
... competent specialists that may be able to achieve the same thinking and intuition performances as human experts. The main factor of intelligent processing consists in artificial judgment able to imitate human judgment. Expert systems are being used to replace human experts in order to support the pr ...
Reflection in Action: Meta-Reasoning for Goal
... In this talk, I will review my laboratory’s work on metareasoning for goal-directed autonomy. We are exploring how meta-reasoning in intelligent agents enables selfadaptation and how self-adaptation promotes goal-directed autonomy. In particular, we are investigating how an agent’s model of its own ...
... In this talk, I will review my laboratory’s work on metareasoning for goal-directed autonomy. We are exploring how meta-reasoning in intelligent agents enables selfadaptation and how self-adaptation promotes goal-directed autonomy. In particular, we are investigating how an agent’s model of its own ...