PPT - ConSystLab - University of Nebraska–Lincoln
... indicate that although the position is the best one for the agent, it results in some broken constraints. and the actual assignment of the position to the agent cannot be made. ...
... indicate that although the position is the best one for the agent, it results in some broken constraints. and the actual assignment of the position to the agent cannot be made. ...
Introduction to Artificial Neural Networks (ANNs)
... IBM’s DECtalk: several man years of work → Reading machine. NETtalk: 10 hours of backprop training on a 1000-word text, T1000. 95% accuracy on T1000; 78% accuracy on novel text. Improvement during training sounds like a child learning to read. Concept layer is key. 79 different (overlapping) clouds ...
... IBM’s DECtalk: several man years of work → Reading machine. NETtalk: 10 hours of backprop training on a 1000-word text, T1000. 95% accuracy on T1000; 78% accuracy on novel text. Improvement during training sounds like a child learning to read. Concept layer is key. 79 different (overlapping) clouds ...
Extending Fuzzy Description Logics with a Possibilistic Layer
... Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Nevertheless, it has been widely pointed out that classical ontologies are not appropriate to deal with imprecise, vague and uncertain knowledge, ...
... Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Nevertheless, it has been widely pointed out that classical ontologies are not appropriate to deal with imprecise, vague and uncertain knowledge, ...
6. Discussion - How to pass the Turing Test
... College Dublin (UCD), Ireland, I wrote in LISP a version of Weizenbaum's classic "Eliza" chat program [17]. Eliza "simulates" (or perhaps parodies) a Rogerian psychotherapist (i.e. a practitioner of the non-directive therapy of Carl Rogers), who has a conversation with a patient by appearing sympath ...
... College Dublin (UCD), Ireland, I wrote in LISP a version of Weizenbaum's classic "Eliza" chat program [17]. Eliza "simulates" (or perhaps parodies) a Rogerian psychotherapist (i.e. a practitioner of the non-directive therapy of Carl Rogers), who has a conversation with a patient by appearing sympath ...
Cognitive architectures
... Connectionist Models Connectionist systems use statistical properties, rather than logical rules to process information to achieve effective behavior. Therefore such systems best capture the statistical regularities in training data. A prominent example for a connectionist model is the unsupervised ...
... Connectionist Models Connectionist systems use statistical properties, rather than logical rules to process information to achieve effective behavior. Therefore such systems best capture the statistical regularities in training data. A prominent example for a connectionist model is the unsupervised ...
ppt - people.csail.mit.edu
... short term memory • Robot can perform “find the toma” of objects and their locations so “out of sight” is not “out of mind” ...
... short term memory • Robot can perform “find the toma” of objects and their locations so “out of sight” is not “out of mind” ...
A New Uncertainty Calculus For Rule
... If (10) holds in a domain, the effect of the old evidence on the likelihood ratio can be ignored, the number of elicitations needed per rule reduces to two, and likelihood ratio uncertainty propagation is not computationally explosive. But we see that (10) is a very restrictive assumption, and is no ...
... If (10) holds in a domain, the effect of the old evidence on the likelihood ratio can be ignored, the number of elicitations needed per rule reduces to two, and likelihood ratio uncertainty propagation is not computationally explosive. But we see that (10) is a very restrictive assumption, and is no ...
PowerPoint 簡報
... 4. Sometimes we can obtain a more robust conclusion by presenting an uncertain description instead of a precise description. (e.g., the description of weather) ...
... 4. Sometimes we can obtain a more robust conclusion by presenting an uncertain description instead of a precise description. (e.g., the description of weather) ...
A Client-Server Interactive Tool for Integrated
... taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. Natural language processing, uncertainty reasoning, ...
... taught methods of internally representing information about the external world. They also learn methods for problem solving by searching through large spaces containing possible environment states, and for generating plans to achieve desired goals. Natural language processing, uncertainty reasoning, ...
An overview of reservoir computing: theory, applications and
... recurrent topology, and only train a single linear readout layer. State-ofthe-art performance can easily be achieved with this setup, called Reservoir Computing. The idea can even be broadened by stating that any high dimensional, driven dynamic system, operated in the correct dynamic regime can be ...
... recurrent topology, and only train a single linear readout layer. State-ofthe-art performance can easily be achieved with this setup, called Reservoir Computing. The idea can even be broadened by stating that any high dimensional, driven dynamic system, operated in the correct dynamic regime can be ...
Production Rules as a Representation for a Knowledge
... in the blood. 2 From the start, the project has been shaped by several important constraints. The decision to construct a high performance AI program in the consultant model brought with it several demands. First, the program had to be useful if we expected to attract the interest and assistance of ...
... in the blood. 2 From the start, the project has been shaped by several important constraints. The decision to construct a high performance AI program in the consultant model brought with it several demands. First, the program had to be useful if we expected to attract the interest and assistance of ...
2006 Paula Matuszek
... hour, and has his agent redo the search with stricter preferences about location and time. Lucy's agent, having complete trust in Pete's agent in the context of the present task, supplies the data it has already sorted through. A new plan is presented: a closer clinic and earlier times—with warning ...
... hour, and has his agent redo the search with stricter preferences about location and time. Lucy's agent, having complete trust in Pete's agent in the context of the present task, supplies the data it has already sorted through. A new plan is presented: a closer clinic and earlier times—with warning ...
Genetic algorithms approach to feature discretization in artificial
... based on GA. GAFD may find optimal or near-optimal thresholds of discretization for maximum predictive performance because GA searches the optimal or near-optimal parameters to maximize the fitness function. The overall framework of GAFD is shown in Fig. 1. The algorithms of GAFD consist of three ph ...
... based on GA. GAFD may find optimal or near-optimal thresholds of discretization for maximum predictive performance because GA searches the optimal or near-optimal parameters to maximize the fitness function. The overall framework of GAFD is shown in Fig. 1. The algorithms of GAFD consist of three ph ...
Artificial Intelligence and Pro-Social Behaviour
... but this is primarily due to improvements in telecommunication which are largely (though not entirely) independent of AI. The way in which current AI fundamentally alters humanity is by altering our capacity for perception—our ability to sense what is in the world. Part of this is also due to commun ...
... but this is primarily due to improvements in telecommunication which are largely (though not entirely) independent of AI. The way in which current AI fundamentally alters humanity is by altering our capacity for perception—our ability to sense what is in the world. Part of this is also due to commun ...
Machine Learning: An Overview - SRI Artificial Intelligence Center
... Relevance-Based Learning Mary travels to Brazil and meets her first Brazilian (Fernando), who speaks Portuguese. She concludes that all Brazilians speak Portuguese but not that all Brazilians are named Fernando. Basic Idea: Use knowledge of what is relevant to infer new properties about a new insta ...
... Relevance-Based Learning Mary travels to Brazil and meets her first Brazilian (Fernando), who speaks Portuguese. She concludes that all Brazilians speak Portuguese but not that all Brazilians are named Fernando. Basic Idea: Use knowledge of what is relevant to infer new properties about a new insta ...
CYBERCRIME
... and a human being having a conversation, then computers would have achieved intelligence. When once cannot determine that he is talking to a machine, the computer is said to have passed the Turing Test. Already seeing applications of AI in organized crime botnets; humans not part of the game. Could ...
... and a human being having a conversation, then computers would have achieved intelligence. When once cannot determine that he is talking to a machine, the computer is said to have passed the Turing Test. Already seeing applications of AI in organized crime botnets; humans not part of the game. Could ...
Artificial Neural Networks - Introduction -
... Brain computer is a highly interconnected neurons system in such a way that the state of one neuron affects the potential of the large number of other neurons which are connected according to weights or strength. The key idea of such principle is the functional capacity of biological neural nets det ...
... Brain computer is a highly interconnected neurons system in such a way that the state of one neuron affects the potential of the large number of other neurons which are connected according to weights or strength. The key idea of such principle is the functional capacity of biological neural nets det ...
Computational Discovery of Communicable Knowledge
... What are the conditions on the learned clauses/methods? If the subproblem involved skill chaining, they are the conditions of the first subskill clause. If the subproblem involved concept chaining, they are the subconcepts that held at the subproblem’s outset. ...
... What are the conditions on the learned clauses/methods? If the subproblem involved skill chaining, they are the conditions of the first subskill clause. If the subproblem involved concept chaining, they are the subconcepts that held at the subproblem’s outset. ...
Application of Qualitative Reasoning to Robotic Soccer
... In this paper we focus on qualitative reasoning aspects of knowledge representation for robotics and argue why they are appropriate for building robust control systems. The underlying robotic architecture we have in mind is a combination of the reactive system and the classical AI approach, also kno ...
... In this paper we focus on qualitative reasoning aspects of knowledge representation for robotics and argue why they are appropriate for building robust control systems. The underlying robotic architecture we have in mind is a combination of the reactive system and the classical AI approach, also kno ...
Managing the Work Flow of the Upgrade Procedure for Long Tunnels
... we anyhow provide formalization. The name agent is assigned to any expert who may act on the web within the upgrade procedure. An agent perform actions consisting in doing things that affect the procedure on the web itself. Following the classical planning terminology, we observe that since we have ...
... we anyhow provide formalization. The name agent is assigned to any expert who may act on the web within the upgrade procedure. An agent perform actions consisting in doing things that affect the procedure on the web itself. Following the classical planning terminology, we observe that since we have ...
Introduction to Computer Vision
... something quite reasonable. Computer vision can be as much about figuring out what the answer should be about, e.g. ”surface reflectivity”, as it can be about figuring out how to get that answer. Insights into what the human visual system is doing come from many other areas of science including psyc ...
... something quite reasonable. Computer vision can be as much about figuring out what the answer should be about, e.g. ”surface reflectivity”, as it can be about figuring out how to get that answer. Insights into what the human visual system is doing come from many other areas of science including psyc ...
ARTIFICIAL INTELLIGENCE
... ways, depending on whether it is used in the context of idealist philosophy or logic and argument Within idealist philosophical contexts, reasoning is "the mental process that informs our imagination, perceptions, thoughts, and feelings with whatever intelligibility these might have. Two major categ ...
... ways, depending on whether it is used in the context of idealist philosophy or logic and argument Within idealist philosophical contexts, reasoning is "the mental process that informs our imagination, perceptions, thoughts, and feelings with whatever intelligibility these might have. Two major categ ...
File
... UNIT – 1: PROBLEM SOLVING 1. What is artificial intelligence? The exciting new effort to make computers think machines with minds in the full and literal sense. Artificial intelligence systemizes and automates intellectual tasks and is therefore potentially relevant to any sphere of human intellectu ...
... UNIT – 1: PROBLEM SOLVING 1. What is artificial intelligence? The exciting new effort to make computers think machines with minds in the full and literal sense. Artificial intelligence systemizes and automates intellectual tasks and is therefore potentially relevant to any sphere of human intellectu ...