scholarly journals Semantic Building Blocks in Genetic Programming

2008 ◽  
pp. 134-145 ◽  
Author(s):  
Nicholas Freitag McPhee ◽  
Brian Ohs ◽  
Tyler Hutchison
Keyword(s):  
Genetic Programming ◽  
Building Blocks ◽  
Semantic Building Blocks

scholarly journals Time, perspective and semantic representation

2017 ◽  
Vol 10 (1) ◽  
pp. 26-55 ◽  
Author(s):  
K. M. JASZCZOLT
Keyword(s):  
Time Perspective ◽  
Semantic Representation ◽  
Building Blocks ◽  
The Self ◽  
Epistemic Modality ◽  
Conceptual Approach ◽  
Temporal Asymmetry ◽  
Temporal Reference ◽  
Semantic Building Blocks ◽  
Cognitive Plausibility

abstractI discuss the perspectival nature of temporality in discourse and argue that the human concept of time can no more be dissociated from the perspectival thought than the concept of the self can. The corollary of this observation is that perspectival temporality can no more be excluded from the semantic representation than the notion of the self can: neither can be reduced to the bare referent for the purpose of semantic representation if the latter is to retain cognitive plausibility. I present such a semantic qua conceptual approach to temporal reference developed within my theory of Default Semantics. I build upon my theory of time as epistemic modality according to which, on the level of conceptual qua semantic building blocks, temporality reduces to degrees of detachment from the certainty of the here and the now. I also address the questions of temporal asymmetry between the past and the future, and the relation between metaphysical time (timeM), psychological time (timeE, where ‘E’ marks the domain of epistemological enquiry), and time in natural language (timeL), concluding that the perspective-infused timeE and timeL are compatible with timeM of mathematical models of spacetime: all are definable through possibility and perspectivity.

Numerical simplification for bloat control and analysis of building blocks in genetic programming

2009 ◽  
Vol 2 (4) ◽  
pp. 151-168 ◽  
Author(s):  
David Kinzett ◽  
Mark Johnston ◽  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Building Blocks

Automatic reactor model synthesis with genetic programming

2012 ◽  
Vol 65 (4) ◽  
pp. 765-772 ◽  
Author(s):  
David J. Dürrenmatt ◽  
Willi Gujer
Keyword(s):  
Genetic Programming ◽  
Treatment Plant ◽  
Building Blocks ◽  
Tracer Experiment ◽  
Suitable Model ◽  
Reactor Model ◽  
Stirred Tank Reactors ◽  
Plant Hydraulics ◽  
Limited Applicability ◽  
Reactor Models

Successful modeling of wastewater treatment plant (WWTP) processes requires an accurate description of the plant hydraulics. Common methods such as tracer experiments are difficult and costly and thus have limited applicability in practice; engineers are often forced to rely on their experience only. An implementation of grammar-based genetic programming with an encoding to represent hydraulic reactor models as program trees should fill this gap: The encoding enables the algorithm to construct arbitrary reactor models compatible with common software used for WWTP modeling by linking building blocks, such as continuous stirred-tank reactors. Discharge measurements and influent and effluent concentrations are the only required inputs. As shown in a synthetic example, the technique can be used to identify a set of reactor models that perform equally well. Instead of being guided by experience, the most suitable model can now be chosen by the engineer from the set. In a second example, temperature measurements at the influent and effluent of a primary clarifier are used to generate a reactor model. A virtual tracer experiment performed on the reactor model has good agreement with a tracer experiment performed on-site.

Characterizing Users' Visual Analytic Activity for Insight Provenance

2009 ◽  
Vol 8 (1) ◽  
pp. 42-55 ◽  
Author(s):  
David Gotz ◽  
Michelle X. Zhou
Keyword(s):  
Visual Analytics ◽  
Building Blocks ◽  
Historical Record ◽  
Essential Requirement ◽  
New Approach ◽  
Fundamental Limitations ◽  
Semantic Building Blocks ◽  
Multiple Levels ◽  
Event Based ◽  
Behavior Types

Insight provenance – a historical record of the process and rationale by which an insight is derived – is an essential requirement in many visual analytics applications. Although work in this area has relied on either manually recorded provenance (for example, user notes) or automatically recorded event-based insight provenance (for example, clicks, drags and key-presses), both approaches have fundamental limitations. Our aim is to develop a new approach that combines the benefits of both approaches while avoiding their deficiencies. Toward this goal, we characterize users' visual analytic activity at multiple levels of granularity. Moreover, we identify a critical level of abstraction, Actions, that can be used to represent visual analytic activity with a set of general but semantically meaningful behavior types. In turn, the action types can be used as the semantic building blocks for insight provenance. We present a catalog of common actions identified through observations of several different visual analytic systems. In addition, we define a taxonomy to categorize actions into three major classes based on their semantic intent. The concept of actions has been integrated into our lab's prototype visual analytic system, HARVEST, as the basis for its insight provenance capabilities.

Semantic schema modeling for genetic programming using clustering of building blocks

2017 ◽  
Vol 48 (6) ◽  
pp. 1442-1460 ◽  
Author(s):  
Zahra Zojaji ◽  
Mohammad Mehdi Ebadzadeh
Keyword(s):  
Genetic Programming ◽  
Building Blocks ◽  
Semantic Schema

scholarly journals Specification of Logic Programming Languages from Reusable Semantic Building Blocks

2002 ◽  
Vol 64 ◽  
pp. 220-233 ◽  
Author(s):  
J.E. Labra Gayo ◽  
J.M. Cueva Lovelle ◽  
M.C. Luengo Díez ◽  
A. Cernuda del Río
Keyword(s):  
Logic Programming ◽  
Programming Languages ◽  
Building Blocks ◽  
Semantic Building Blocks ◽  
Logic Programming Languages
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