Artificial Intelligence Intelligent Autonomous Agents 1
... An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure o ...
... An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful Performance measure: An objective criterion for success of an agent's behavior E.g., performance measure o ...
Word - Pages
... hypothesis. We had a limited amount of time to do so. Later, we received the ground truth so that we could perform our own evaluation. We adopted the following methodology. Rule learning is quite expensive in these large datasets. Moreover, we have found that most rules are relevant across the datas ...
... hypothesis. We had a limited amount of time to do so. Later, we received the ground truth so that we could perform our own evaluation. We adopted the following methodology. Rule learning is quite expensive in these large datasets. Moreover, we have found that most rules are relevant across the datas ...
Eleanor Dare - Department of Computing
... acknowledge the irrational aspects of human psychology outlined by Freud (among others). In fact, Henriques claims the non-rational subject is ‘denied altogether in its own accounts’ (Henriques et al, 1984: 80). Section two of this review will look at Lorraine Code’s ideas for an alternative form of ...
... acknowledge the irrational aspects of human psychology outlined by Freud (among others). In fact, Henriques claims the non-rational subject is ‘denied altogether in its own accounts’ (Henriques et al, 1984: 80). Section two of this review will look at Lorraine Code’s ideas for an alternative form of ...
Application of Neural Networks for Intelligent Video
... best determine safe driving style. For instance, Meiring found that while finite state machines may be useful in modeling driver decision making, artificial neural networks are effective in detecting drowsiness, and predicting steering behavior (p. 30669). Meiring analyzed many more algorithms than ...
... best determine safe driving style. For instance, Meiring found that while finite state machines may be useful in modeling driver decision making, artificial neural networks are effective in detecting drowsiness, and predicting steering behavior (p. 30669). Meiring analyzed many more algorithms than ...
Building Intelligent Tutoring Systems: An Overview
... modeling. TAGUS uses logic to represent the knowledge, reasoning and cognitive strategies of the learner. It provides an interface with services for accessing and updating information about the learner's knowledge state. More recently, ZapataRivera and Greer (2004) proposed SModel, a Bayesian studen ...
... modeling. TAGUS uses logic to represent the knowledge, reasoning and cognitive strategies of the learner. It provides an interface with services for accessing and updating information about the learner's knowledge state. More recently, ZapataRivera and Greer (2004) proposed SModel, a Bayesian studen ...
Answering Subcognitive Turing Test Questions: A Reply
... is the human subject and who is not, by asking various questions to the two subjects and studying the replies. Both subjects are expected to make an effort to convince the examiner that they are the human subject. The machine is to be considered intelligent if the examiner cannot distinguish the two ...
... is the human subject and who is not, by asking various questions to the two subjects and studying the replies. Both subjects are expected to make an effort to convince the examiner that they are the human subject. The machine is to be considered intelligent if the examiner cannot distinguish the two ...
Answering Subcognitive Turing Test Questions: A
... is the human subject and who is not, by asking various questions to the two subjects and studying the replies. Both subjects are expected to make an effort to convince the examiner that they are the human subject. The machine is to be considered intelligent if the examiner cannot distinguish the two ...
... is the human subject and who is not, by asking various questions to the two subjects and studying the replies. Both subjects are expected to make an effort to convince the examiner that they are the human subject. The machine is to be considered intelligent if the examiner cannot distinguish the two ...
Exact Solution Counting for Artificial Intelligence based
... obtained by randomly assigning variables until solutions are found. A possible drawback of these approaches is that they might find no solution within a given time limit due to inconsistent partial assignments. For large and complex problems, this results in zero lower bounds or it requires time-con ...
... obtained by randomly assigning variables until solutions are found. A possible drawback of these approaches is that they might find no solution within a given time limit due to inconsistent partial assignments. For large and complex problems, this results in zero lower bounds or it requires time-con ...
INTRODUCTION TO Al AND PRODUCTION SYSTEMS 9
... borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears. AI is generally asso ...
... borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears. AI is generally asso ...
AAAI-96 Workshops
... particular interest at this time. • The names and addresses of the organizing committee; 3 to 4 people knowledgeable in the field. Strong proposals include organizers who bring differing perspectives to the workshop topic. • A list of potential attendees • An indication as to whether the workshop sh ...
... particular interest at this time. • The names and addresses of the organizing committee; 3 to 4 people knowledgeable in the field. Strong proposals include organizers who bring differing perspectives to the workshop topic. • A list of potential attendees • An indication as to whether the workshop sh ...
The 1995 Robot Competition and Exhibition - David P. Miller
... of event 1 (that is, exit-room, navigate-hallway, enter-room). It is written in C++ and uses commercial software for generating speech and recognizing high-level verbal instructions. The design philosophy views the LOBOT as a collection of objects that cooperate to achieve goals. In this hierarchica ...
... of event 1 (that is, exit-room, navigate-hallway, enter-room). It is written in C++ and uses commercial software for generating speech and recognizing high-level verbal instructions. The design philosophy views the LOBOT as a collection of objects that cooperate to achieve goals. In this hierarchica ...
Division of Informatics, University of Edinburgh
... system vendor to maintain. The demonstration shows how AI planning can be used in such cases where the basic ingredients used are not very numerous, but the way they can be combined varies. ...
... system vendor to maintain. The demonstration shows how AI planning can be used in such cases where the basic ingredients used are not very numerous, but the way they can be combined varies. ...
Introduction to AI Hal Daumé III Computer Science University of Maryland
... ➢ 1969—79: Early development of knowledge-based systems ➢ 1980—88: Expert systems industry booms ➢ 1988—93: Expert systems industry busts: “AI Winter” ...
... ➢ 1969—79: Early development of knowledge-based systems ➢ 1980—88: Expert systems industry booms ➢ 1988—93: Expert systems industry busts: “AI Winter” ...
AAAI Proceedings Template - Electronics and Computer Science
... told, or so the video shows me). No such possibility for today's robots. They don’t feel a [4]. 3. Biochemical Robots. By "today's robots," we mean the real robots we build today (not our fictional and cinematic ones, which are way ahead of the game: see Appendix). We are ourselves natural biochemic ...
... told, or so the video shows me). No such possibility for today's robots. They don’t feel a [4]. 3. Biochemical Robots. By "today's robots," we mean the real robots we build today (not our fictional and cinematic ones, which are way ahead of the game: see Appendix). We are ourselves natural biochemic ...
Knowledge Processing for Cognitive Robots
... Knowledge processing methods are an important resource for robots that perform challenging tasks in complex, dynamic environments. When applied to robot control, such methods allow to write more general and flexible control programs and enable reasoning about the robot’s observations, the actions in ...
... Knowledge processing methods are an important resource for robots that perform challenging tasks in complex, dynamic environments. When applied to robot control, such methods allow to write more general and flexible control programs and enable reasoning about the robot’s observations, the actions in ...
Deployment and dynamic reconfiguration planning for distributed
... 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, where it arises in robot motion planning, intelligent manufacturing, an ...
... 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, where it arises in robot motion planning, intelligent manufacturing, an ...
Report on Artificial Intelligence and Human Society Unofficial
... conducted on whether computers could be invented or intelligence artificially realized, but AI was officially set as a research horizon at this conference. The realization of AI is the researcher's goal. Complete AI does not exist yet, and it is difficult to say what is complete. Technologies that c ...
... conducted on whether computers could be invented or intelligence artificially realized, but AI was officially set as a research horizon at this conference. The realization of AI is the researcher's goal. Complete AI does not exist yet, and it is difficult to say what is complete. Technologies that c ...
From Philosophy and Mental-Models to Semantic Desktop research
... process which humans go through to solve deductive reasoning problems. His theory included the use of a set of diagrams to describe the various combinations of premises and possible conclusions [Johnson-Laird1983]. Johnson-Laird proposed three types of mental representations: (1) Propositional repre ...
... process which humans go through to solve deductive reasoning problems. His theory included the use of a set of diagrams to describe the various combinations of premises and possible conclusions [Johnson-Laird1983]. Johnson-Laird proposed three types of mental representations: (1) Propositional repre ...
Knowledge Representation in Artificial Intelligence using
... Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents". The term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human mind ...
... Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents". The term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human mind ...
Machine Learning Basics: 1. General Introduction
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
A Project on Gesture Recognition with Neural Networks for
... thus use search algorithms. Some games already use machine learning or planning algorithms. For example, “Black and White” uses a combination of inductive learning of decision trees and reinforcement learning with (artificial) neural networks, and “F.E.A.R” uses goal-oriented action planning. Thus, ...
... thus use search algorithms. Some games already use machine learning or planning algorithms. For example, “Black and White” uses a combination of inductive learning of decision trees and reinforcement learning with (artificial) neural networks, and “F.E.A.R” uses goal-oriented action planning. Thus, ...
Machine Learning Basics: 1. General Introduction
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
curriculum vitae - NYU Stern School of Business
... input histories of data and attempt to reconstruct the psychological and economic forces that drive markets as described by experienced professionals. There are also several specific offshoots from this research, namely, whether “simpler” patterns discovered from data are more robust than more compl ...
... input histories of data and attempt to reconstruct the psychological and economic forces that drive markets as described by experienced professionals. There are also several specific offshoots from this research, namely, whether “simpler” patterns discovered from data are more robust than more compl ...