Knowledge Request-Broker Architecture: A Platform for
... considered because, in one hand they look very similar to functions (methods) which are common in almost all programing languages and can be defined in a very similar way, and in the other hand they can be used to encode and inquiry knowledge very efficiently. The group theory gives this confidence ...
... considered because, in one hand they look very similar to functions (methods) which are common in almost all programing languages and can be defined in a very similar way, and in the other hand they can be used to encode and inquiry knowledge very efficiently. The group theory gives this confidence ...
What are Agent and Environment?
... be measured with Turing Test. • Two persons and a machine to be evaluated participate in the test. Out of the two persons, one plays the role of the tester. Each of them sits in different rooms. The tester is unaware of who is machine and who is a human. He interrogates the questions by typing and s ...
... be measured with Turing Test. • Two persons and a machine to be evaluated participate in the test. Out of the two persons, one plays the role of the tester. Each of them sits in different rooms. The tester is unaware of who is machine and who is a human. He interrogates the questions by typing and s ...
Societies of Reactive Agents
... concerned with emergent behaviour as this seems to be a dominant feature of natural life. (ALife is also very much concerned with evolution and learning.) ALife research can help us to understand properties of all sorts of systems, quite apart from those involving animals such as birds and ants. For ...
... concerned with emergent behaviour as this seems to be a dominant feature of natural life. (ALife is also very much concerned with evolution and learning.) ALife research can help us to understand properties of all sorts of systems, quite apart from those involving animals such as birds and ants. For ...
Intelligent Multimedia-A New Computing
... Intelligent syntax languages are defined and their linguistics parsing theories outlined. A computational logic for intelligent languages is presented in brief with a soundness and completeness theorem. A brief overview to context abstraction shows how context free and context sensitive properties m ...
... Intelligent syntax languages are defined and their linguistics parsing theories outlined. A computational logic for intelligent languages is presented in brief with a soundness and completeness theorem. A brief overview to context abstraction shows how context free and context sensitive properties m ...
Prediction of pedal cyclists and pedestrian fatalities from
... Therefore, it was used in analysis and predictions of the present research. Using different methods of radial based function (RBF) in comparison with generalized regression network (GRN), multi-linear regression (MLR) and regression trees (RT), four models were investigated in total. Then results we ...
... Therefore, it was used in analysis and predictions of the present research. Using different methods of radial based function (RBF) in comparison with generalized regression network (GRN), multi-linear regression (MLR) and regression trees (RT), four models were investigated in total. Then results we ...
Artificial Intelligence in Reservoir Simulation and
... Top‐Down Intelligent Reservoir Modeling approaches the reservoir simulation and modeling from an opposite angle by attempting to build a realization of the reservoir starting with well production behavior (history). The production history is augmented with core, l ...
... Top‐Down Intelligent Reservoir Modeling approaches the reservoir simulation and modeling from an opposite angle by attempting to build a realization of the reservoir starting with well production behavior (history). The production history is augmented with core, l ...
Should I trust my teammates? An experiment in Heuristic
... Multiagent Reinforcement Learning (MRL) algorithms have been proposed and successfully applied to some simple problems, such as the Minimax-Q [Littman, 1994], the Friendor-Foe Q-Learning [Littman, 2001] and the Nash Q-Learning [Hu and Wellman, 2003]. An recently proposed way of increasing the conver ...
... Multiagent Reinforcement Learning (MRL) algorithms have been proposed and successfully applied to some simple problems, such as the Minimax-Q [Littman, 1994], the Friendor-Foe Q-Learning [Littman, 2001] and the Nash Q-Learning [Hu and Wellman, 2003]. An recently proposed way of increasing the conver ...
Artificial neural network model for river flow forecasting
... It is worth noting the above features are not exclusive to ANN models but are also shared by other metric and conceptual models. Thus, there are other rival models to the ANN models which are also appropriate for river flow forecasting in developing countries. When implementing a river flow forecast ...
... It is worth noting the above features are not exclusive to ANN models but are also shared by other metric and conceptual models. Thus, there are other rival models to the ANN models which are also appropriate for river flow forecasting in developing countries. When implementing a river flow forecast ...
AutoLeadGuitar: Automatic Generation of Guitar Solo Phrases in the
... difference learning learns the weight costs of a particular playing style based on labelled tabs. Genetic algorithms have also been explored as a means of efficiently exploring the large search space created in the fingering decision problem [17]. Hori et al. [18] designed an input-output Hidden Mar ...
... difference learning learns the weight costs of a particular playing style based on labelled tabs. Genetic algorithms have also been explored as a means of efficiently exploring the large search space created in the fingering decision problem [17]. Hori et al. [18] designed an input-output Hidden Mar ...
APPLIED COMPUTATIONAL INTELLIGENCE FOR FINANCE AND
... unsure of the parameters values; unsure of both their models and parameters; or even unsure about which of the two previous alternatives should be followed. This behavior might be achieved by means of computational intelligence. Among the wide range of alternative approaches to provide the agents wi ...
... unsure of the parameters values; unsure of both their models and parameters; or even unsure about which of the two previous alternatives should be followed. This behavior might be achieved by means of computational intelligence. Among the wide range of alternative approaches to provide the agents wi ...
AAAI 2001 Spring Symposium Series Reports
... theory. One specific approach to constructing approximate solutions, presented by Daphne Koller and collaborators, uses max-norm approximation to the value function. In another paper, also by Koller and colleagues, influence diagram formalism was extended to include the presence of multiple agents. ...
... theory. One specific approach to constructing approximate solutions, presented by Daphne Koller and collaborators, uses max-norm approximation to the value function. In another paper, also by Koller and colleagues, influence diagram formalism was extended to include the presence of multiple agents. ...
Some insights into computational models of (patho)physiological
... the most complex system in nature. Therefore understanding its functions offers a great challenge to biological and physical sciences. Neurobiological research yields new and detailed knowledge at a very high rate but it is becoming clear that to understand how the brain works it is not enough to ac ...
... the most complex system in nature. Therefore understanding its functions offers a great challenge to biological and physical sciences. Neurobiological research yields new and detailed knowledge at a very high rate but it is becoming clear that to understand how the brain works it is not enough to ac ...
Societies of Agents - Foundations of Artificial Intelligence
... AI, which focuses on single agents • There are two main strands: • Cooperative agents, which work together to achieve a common goal • Competitive agents, which try to maximize their own expected utility • The latter might also be useful in cooperative settings, because it leads to particularly r ...
... AI, which focuses on single agents • There are two main strands: • Cooperative agents, which work together to achieve a common goal • Competitive agents, which try to maximize their own expected utility • The latter might also be useful in cooperative settings, because it leads to particularly r ...
Comparison of Neural Network and Statistical
... presented herein tends to indicate that the multi-layer perceptron’s performance is superior to that of the structural model. This may be attributed largely to the fact that the multi-layer perceptron is better able to predict large price movements. The results for both models seem to suggest that t ...
... presented herein tends to indicate that the multi-layer perceptron’s performance is superior to that of the structural model. This may be attributed largely to the fact that the multi-layer perceptron is better able to predict large price movements. The results for both models seem to suggest that t ...
Towards Robust Conformance Checking
... Structure: does the model have a minimal structure to describe its behavior? Many existing conformance checking techniques require process models in the form of Petri nets (e.g. [2,7,11]). Given a Petri net and an event log, various conformance metrics are calculated by replaying the log in the net. ...
... Structure: does the model have a minimal structure to describe its behavior? Many existing conformance checking techniques require process models in the form of Petri nets (e.g. [2,7,11]). Given a Petri net and an event log, various conformance metrics are calculated by replaying the log in the net. ...
Congregating and Market Formation.
... is most relevant to congregating. In this problem, two or more producers are each separately selecting a set of goods to sell and a pricing mechanism for these goods. In doing this, they separate the consumer population into one or more markets, each of which buys from one producer, plus the market ...
... is most relevant to congregating. In this problem, two or more producers are each separately selecting a set of goods to sell and a pricing mechanism for these goods. In doing this, they separate the consumer population into one or more markets, each of which buys from one producer, plus the market ...
Journal of Cognitive Neuroscience 10:1
... point in space. We used a two-dimensional arm to avoid this ill-posed problem because we believe it is orthogonal to the questions about the internal dynamics of M1 that we investigate here. The details of the twodimensional arm angle system used are given in Figure 2. To teach an M1 model to repres ...
... point in space. We used a two-dimensional arm to avoid this ill-posed problem because we believe it is orthogonal to the questions about the internal dynamics of M1 that we investigate here. The details of the twodimensional arm angle system used are given in Figure 2. To teach an M1 model to repres ...
Argumentation for Resolving Privacy Disputes in Online Social
... to deal with this problem is to enable collaborative policies to be written per content [5]. However, composing privacy policies from scratch is extremely time consuming. Further, it is difficult to overcome conflicts among users. Another way of dealing with this problem is to use agent-based approa ...
... to deal with this problem is to enable collaborative policies to be written per content [5]. However, composing privacy policies from scratch is extremely time consuming. Further, it is difficult to overcome conflicts among users. Another way of dealing with this problem is to use agent-based approa ...
Geometric Hashing
... the coordinates of any 3-D point can be computed in this coordinate frame. • During recognition, we vote for all the bins lying on a given line in the 3D hash-table. ...
... the coordinates of any 3-D point can be computed in this coordinate frame. • During recognition, we vote for all the bins lying on a given line in the 3D hash-table. ...
JRobin - LES - PUC-Rio
... Planning: restricted to very narrow technique and problem sets RoboCup: comparing “Cadillacs vs. Dinosaurs”, everything all at once, ...
... Planning: restricted to very narrow technique and problem sets RoboCup: comparing “Cadillacs vs. Dinosaurs”, everything all at once, ...
behavioral animation for crowd simulation
... • Programmed crowds: Behaviors are programmed in a script language • Autonomous crowds: Behaviors are specified using rules or complex models 4. Ease of authoring: This refers to the types of primitives provided by the system, the user interface and extensibility mechanisms. ...
... • Programmed crowds: Behaviors are programmed in a script language • Autonomous crowds: Behaviors are specified using rules or complex models 4. Ease of authoring: This refers to the types of primitives provided by the system, the user interface and extensibility mechanisms. ...
A review of artificial intelligence applications in
... evolution of more powerful models/programs composed of several sub-programs (Ferreira, 2001). The major steps in the GEP procedure are schematically represented in Fig. 5. The process begins with choosing sets of functions F and terminals T to randomly create an initial population of chromosomes of ...
... evolution of more powerful models/programs composed of several sub-programs (Ferreira, 2001). The major steps in the GEP procedure are schematically represented in Fig. 5. The process begins with choosing sets of functions F and terminals T to randomly create an initial population of chromosomes of ...
Automated Deduction Techniques for the Management of
... Abstract. This work is about a “real-world” application of automated deduction. The application is the management of documents (such as mathematical textbooks) that are decomposed (“sliced”) into small units. A particular application task is to assemble a new document from such units in a selective ...
... Abstract. This work is about a “real-world” application of automated deduction. The application is the management of documents (such as mathematical textbooks) that are decomposed (“sliced”) into small units. A particular application task is to assemble a new document from such units in a selective ...
agent function
... • Goals alone are not enough to generate high-quality behavior sometimes – Goal are often binary distinction e.g. happy vs. unhappy ...
... • Goals alone are not enough to generate high-quality behavior sometimes – Goal are often binary distinction e.g. happy vs. unhappy ...