How to model complex behaviours with probabilities
Representation of complex probabilities and complex Gibbs sampling
... Despite the impediments noted, may be the most interesting lesson to be learned from the di- rect representation approach is that such positive representations do exist, also in hard problems like QCD at finite density. ...
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Simulating heterogeneous behaviours in complex systems on GPUs
... In the case of FLAME GPU, the issue of divergence can be resolved by expressing models with high use of states to first minimise divergence (at the expense of utilisation) and then concurrently executing independent ...
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Probabilities and certainties within a causally symmetric model
... original model to be avoided via the addition of ...to probabilities, it is shown that the model provides a derivation of the Born rule identical to that in Bohm’s original ...demonstrated how ...
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Towards the evolutionary emergence of increasingly complex advantageous behaviours
... Tierra was implemented as a virtual computer, allowing Ray to design a machine language with some properties suiting it to evolution. One aspect of this language was that it contained no numeric constants. This was to ...
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Learning complex behaviours and Keepaway in 3D Robocup Environment
... 7 Related and Future Work Reinforcement Learning on 2D keepaway testbed has been rigourously studied in RL for Robocup Soccer Keepaway by P. Stone et al. In their work they model the keepaway task as an SMDP and ...
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Investigating collaborative information behaviours in complex product development work
... on how actors interact with these contextual ...information behaviours on engineering ...information behaviours in response to tensions caused by technologies originally introduced to support their ...
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Producing Complex Behaviours on Trajectory Velocity Learning Mobile Robots
... explained how other more complex behaviours can be implemented easily with TVL by simply altering the ro- bot's perception of the environment so that significant objects appear to the robot to have ...
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How to Calculate Default Prof probabilities From Within a Bank
... mixture model, hereby confirming our theoretical results from Section ...ideas how to apply the copula concept to standard problems in credit risk is Li [78,79], Frey and McNeil [45], Frey, McNeil, and ...
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On the evaluation of finite-time ruin probabilities in a dependent risk model
... 1) how efficiently the Appell polynomials are computed; 2) how the (infinite) sum with respect to the number of claims k is truncated so that the resulting error is less than a pre-specified accuracy level; ...
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Developing an agent-based model on how different individuals solve complex problems
... This research does not attempt to develop a fully comprehensive and detailed model of how individuals think, behave and act. Such complexity is almost impossible to understand in real life, let alone in a ...
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Examination of how food environment and psychological factors interact in their relationship with dietary behaviours: test of a cross-sectional model
... good model fit, however, this does not necessarily conclude that all necessary con- structs have been included in the model ...and how this may have affected our results. We applied a model ...
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How do in-mall entertainment events impact on consumers' shopping mall behaviours? a model of special event entertainment
... patrons’ behaviours. Adapted from Wakefield and Baker’s model (1998), the framework presented proposes that shoppers’ perceptions of SEE constitute three factors and they are perceived quality, perceived ...
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How Many Bits Are Needed To Store Probabilities for Phrase Based Translation?
... Whittaker and Raj (2001) discuss probability en- coding as a means to reduce memory requirements of an n-gram language model. Quantization of a 3-gram back-off model was performed by applying the k-means ...
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Model checking single agent behaviours by fluid approximation
... fluid model checking for time- bounded CSL ...fluid model checking. In Section 5, instead, we present the CSL model checking algorithm for time-inhomogeneous CTMCs, discussing first how to ...
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How Complex is Discourse Structure?
... Abstract This paper contributes to the question of which degree of complexity is called for in representations of discourse structure. We review recent claims that tree structures do not suffice as a model for ...
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A multivariate model of stalking behaviours
... the model that is summarised in Figure 2 is that it facilitates inferences about what sorts of activities may be missing from the present ...this model that offenders who invite contact may also be prone to ...
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How to improve people's interpretation of probabilities of precipitation
... examining how people understand probabilities instead of just focusing on people’s subjective probability ...learn how people actually understand probabilities to comprehend the meaning of ...
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Bounding probabilities in a Markovian model of character evolution
... Using Erdos-Szekely path systems, a sharp upper bound for the probability of a given character evolving under this model is obtained in terms of its parsimony length.. In the [r] ...
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Estimating transition probabilities for the illness-death model
... transition probabilities in this ...transition probabilities that fits the data better, for most of the t ...transition probabilities that fit the data better, than is the case for the Markov method, ...
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Complex adaptive systems: a tool for interpreting responses and behaviours
... Various techniques were attempted, which were observed linking individual, local and national quality improvement objectives. Rules that emerged locally focused on the standardised coding, capture of the diagnosis and ...
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