Reflections on Brian Shackels Usability
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
Program - Association for the Advancement of Artificial Intelligence
... The Tenth AI Video Competition (http://aivideocompetition.org/aaai-video-competition-2016/) communicates to the world the fun of pursuing research in AI, and illustrates the impact of some of our applications. Submitters were asked to create narrated videos of 1-5 minutes in length. The submissions ...
... The Tenth AI Video Competition (http://aivideocompetition.org/aaai-video-competition-2016/) communicates to the world the fun of pursuing research in AI, and illustrates the impact of some of our applications. Submitters were asked to create narrated videos of 1-5 minutes in length. The submissions ...
Automated Modelling and Solving in Constraint Programming
... constraint acquisition (Bessiere et al. 2005). The motivations for constraint acquisition are many. For example, in order to solve partially defined constraints more efficiently, Lallouet and Legtchenko (2005) have proposed to complete their specification by using machine learning techniques and the ...
... constraint acquisition (Bessiere et al. 2005). The motivations for constraint acquisition are many. For example, in order to solve partially defined constraints more efficiently, Lallouet and Legtchenko (2005) have proposed to complete their specification by using machine learning techniques and the ...
Path Planner Application Manual
... The path planner application is designed to allow for convenient creation, demonstration, and analysis of different path planning algorithms. In this manual the term path planner refers to the application component that performs the planning, and the term path planner application refers to the appli ...
... The path planner application is designed to allow for convenient creation, demonstration, and analysis of different path planning algorithms. In this manual the term path planner refers to the application component that performs the planning, and the term path planner application refers to the appli ...
Description Logics
... For example, given the definition of Speaker from above, Speaker is obviously subsumed by Person. In general, however, induced subsumption relationships may be much harder to detect. The instance algorithm determines induced instance relationships: the individual i is an instance of the concept desc ...
... For example, given the definition of Speaker from above, Speaker is obviously subsumed by Person. In general, however, induced subsumption relationships may be much harder to detect. The instance algorithm determines induced instance relationships: the individual i is an instance of the concept desc ...
Cyberfeminism and Artificial Life
... psychology, like those of its ancestor sociobiology, come from within the sciences (Rose and Rose 2000; Gould 2000; Rose et al. 1984). Where does this leave a cyberfeminism no longer safe within the confines of a strangely familiar and boyishly banal disembodied cyberspace? The conditions for dialog ...
... psychology, like those of its ancestor sociobiology, come from within the sciences (Rose and Rose 2000; Gould 2000; Rose et al. 1984). Where does this leave a cyberfeminism no longer safe within the confines of a strangely familiar and boyishly banal disembodied cyberspace? The conditions for dialog ...
ARTIFICIAL INTELLIGENCE SELECTION WITH
... values for each saved parameter associated with the application of a successful EOR method, were saved in database file . • Calculate the total times of match for each method per loop of: total=total +1 • If the value of each parameter is in the range or equal to the minimummaximum values then Calcu ...
... values for each saved parameter associated with the application of a successful EOR method, were saved in database file . • Calculate the total times of match for each method per loop of: total=total +1 • If the value of each parameter is in the range or equal to the minimummaximum values then Calcu ...
Yuxing Chen`s Complete Thesis Booklet
... Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of swarm intelligence is a “population” of local interactions to the environment in a greater amount that creates a global system. At 1989, the swarm intelligence expression ...
... Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of swarm intelligence is a “population” of local interactions to the environment in a greater amount that creates a global system. At 1989, the swarm intelligence expression ...
Artificial Intelligence and Expert Systems
... heuristic methods, procedures, and relationships Knowledge is also information organized and analyzed for understanding and applicable to problem solving or decision making Knowledge base - the collection of knowledge related to a problem (or opportunity) used in an AI system Typically limited in so ...
... heuristic methods, procedures, and relationships Knowledge is also information organized and analyzed for understanding and applicable to problem solving or decision making Knowledge base - the collection of knowledge related to a problem (or opportunity) used in an AI system Typically limited in so ...
This Endless Space between the Words: The Limits of Love in Spike
... simulations of caring behavior, they are entirely necessary for actual love. It is not difficult to find examples of things that are almost certainly not conscious but which behave as if they had feelings and emotions, and so would seem to meet Levy’s proposed variant on the Turing Test. A character ...
... simulations of caring behavior, they are entirely necessary for actual love. It is not difficult to find examples of things that are almost certainly not conscious but which behave as if they had feelings and emotions, and so would seem to meet Levy’s proposed variant on the Turing Test. A character ...
s 1 - UNL CSE
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
From: AAAI- Proceedings. Copyright © , AAAI (www.aaai.org). All rights reserved. 97
... effectiveness of an admissible heuristic function by its expected value over the problem space. This is easily determined to any desired degree of accuracy by randomly sampling the problem space, and computing the heuristic for each state. In our case, the heuristic values are enumerated in the heur ...
... effectiveness of an admissible heuristic function by its expected value over the problem space. This is easily determined to any desired degree of accuracy by randomly sampling the problem space, and computing the heuristic for each state. In our case, the heuristic values are enumerated in the heur ...
Bayesian AI Introduction - Australasian Bayesian Network Modelling
... predication, environmental management, intelligent tutoring systems, epidemiology, poker and other applications. Norsys (www.norsys.com) list hundreds of additional applications of Bayesian AI. This talk will explain the basics of the technology, illustrate them with example Bayesian networks, and d ...
... predication, environmental management, intelligent tutoring systems, epidemiology, poker and other applications. Norsys (www.norsys.com) list hundreds of additional applications of Bayesian AI. This talk will explain the basics of the technology, illustrate them with example Bayesian networks, and d ...
Engineering Efficient Planners with SAT
... i + 1. A priori, all possible actions are available at each time point. Attempts to take advantage of this have gone into two opposite directions. Kautz and Selman’s GraphPlan-based encodings attempt to decrease the size of the SAT problems by eliminating some of the actions that are not possible in ...
... i + 1. A priori, all possible actions are available at each time point. Attempts to take advantage of this have gone into two opposite directions. Kautz and Selman’s GraphPlan-based encodings attempt to decrease the size of the SAT problems by eliminating some of the actions that are not possible in ...
Expert System of AI
... computer science. Theoretically, then, a knowledge engineer is a computer scientist who knows how to design and implement programs that incorporate artificial intelligence techniques. The nature of knowledge engineering is changing, however, and a new breed of knowledge engineers is emerging. Today ...
... computer science. Theoretically, then, a knowledge engineer is a computer scientist who knows how to design and implement programs that incorporate artificial intelligence techniques. The nature of knowledge engineering is changing, however, and a new breed of knowledge engineers is emerging. Today ...
Machine Learning I - Mit - Massachusetts Institute of Technology
... Another learning problem, familiar to most of us, is learning motor skills, like riding a bike. We call this reinforcement learning. It's different from supervised learning because no-one explicitly tells you the right thing to do; you just have to try things and see what makes you fall over and wha ...
... Another learning problem, familiar to most of us, is learning motor skills, like riding a bike. We call this reinforcement learning. It's different from supervised learning because no-one explicitly tells you the right thing to do; you just have to try things and see what makes you fall over and wha ...
A Formal Characterization of Concept Learning in Description Logics
... on members (positive examples) and nonmembers (negative examples) of this category. Here, the target is a boolean-valued function f : X → {0, 1}, i.e. a concept. When examples of the target concept are available, the resulting ML task is said supervised, otherwise it is called unsupervised. The posi ...
... on members (positive examples) and nonmembers (negative examples) of this category. Here, the target is a boolean-valued function f : X → {0, 1}, i.e. a concept. When examples of the target concept are available, the resulting ML task is said supervised, otherwise it is called unsupervised. The posi ...
Pattern-Database Heuristics for Partially Observable
... encodable belief state), and the goal description s? is a partial state. A state s is a goal state iff s? is satisfied in s, and a belief state B is a goal belief state iff each state s ∈ B is a goal state. O is a finite set of actions partitioned into causative actions Oc and sensing actions Os . C ...
... encodable belief state), and the goal description s? is a partial state. A state s is a goal state iff s? is satisfied in s, and a belief state B is a goal belief state iff each state s ∈ B is a goal state. O is a finite set of actions partitioned into causative actions Oc and sensing actions Os . C ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... somewhere else. If there is any intentionality at all, at least some of it must be original; it can't all be derivative.) The problem for mind design is that artificial intelligence systems, like sentences and pictures, are also artifacts. So it can seem that their intentionality too must always be ...
... somewhere else. If there is any intentionality at all, at least some of it must be original; it can't all be derivative.) The problem for mind design is that artificial intelligence systems, like sentences and pictures, are also artifacts. So it can seem that their intentionality too must always be ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... somewhere else. If there is any intentionality at all, at least some of it must be original; it can't all be derivative.) The problem for mind design is that artificial intelligence systems, like sentences and pictures, are also artifacts. So it can seem that their intentionality too must always be ...
... somewhere else. If there is any intentionality at all, at least some of it must be original; it can't all be derivative.) The problem for mind design is that artificial intelligence systems, like sentences and pictures, are also artifacts. So it can seem that their intentionality too must always be ...
The Unconscious Mind as a Means for Authentication - E
... developing unique authentication models. Such variation could manifest as heterogeneity through time or across different situated experiences. In general, any variation in the individual’s IUP poses a challenge to authentication. First, let’s assume we can measure an IUP, say IUPi. We need to know i ...
... developing unique authentication models. Such variation could manifest as heterogeneity through time or across different situated experiences. In general, any variation in the individual’s IUP poses a challenge to authentication. First, let’s assume we can measure an IUP, say IUPi. We need to know i ...
md hassan - Computer and Information Science
... 5. http://cogsci.ucsd.edu/~asaygin/tt/ttest.html 6. http://web.media.mit.edu/~minsky/minsky.html 7. http://diva.library.cmu.edu/Newell/biography.html ...
... 5. http://cogsci.ucsd.edu/~asaygin/tt/ttest.html 6. http://web.media.mit.edu/~minsky/minsky.html 7. http://diva.library.cmu.edu/Newell/biography.html ...
Introducing Preferences in Planning as Satisfiability
... preferences are naturally handled in this way, while quantitative preferences need an encoding of the objective function to be minimized/maximized. This allows, e.g. to take into consideration ‘plan quality’ issues other than makespan, like number of actions and plan metrics defined on ‘soft’ goals. ...
... preferences are naturally handled in this way, while quantitative preferences need an encoding of the objective function to be minimized/maximized. This allows, e.g. to take into consideration ‘plan quality’ issues other than makespan, like number of actions and plan metrics defined on ‘soft’ goals. ...
CS 561a: Introduction to Artificial Intelligence
... people to understand what parts of brain do • More recent studies use accurate sensors to correlate brain activity to human thought • By monitoring individual neurons, monkeys can now control a computer mouse using thought alone • Moore’s law states computers will have as many gates as humans have n ...
... people to understand what parts of brain do • More recent studies use accurate sensors to correlate brain activity to human thought • By monitoring individual neurons, monkeys can now control a computer mouse using thought alone • Moore’s law states computers will have as many gates as humans have n ...