This paper establishes what makes an ontology different in Modeling and Simulation (M&S) from other disciplines, vis-a-vis, the necessity to capture a conceptual model of a system in an explicit, unambiguous, and machine readable form. Unlike other disciplines where ontologies are used, such as Information Systems and Medicine, ontologies in M&S do not depart from a set of requirements but from a research question which is contingent on a modeler. Thus, the semiotic triangle is used to present that different implemented ontologies are representations of different conceptual models whose commonality depends on which research question is being asked. Ontologies can be applied to better capture the modeler's perspective. The elicitation of ontological, epistemological, and teleological considerations is suggested. These considerations may lead to better differentiation between conceptualizations, which for a computer are of importance for use, reuse and composability of models and interoperability of simulations.

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Ontology for modeling and simulation

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Ontology for Modeling and Simulation

DEVELOPING A PHILOSOPHICAL PROFILE OF THE INDIVIDUAL FOR COMPLEX PROBLEM-SOLVING THROUGH AGENT-BASED MODELING Ipek Bozkurt Old Dominion University, 2009 Director: Dr. Andres Sousa-Poza Research that focuses on the emotional, mental, behavioral and cognitive capabilities of individuals has been abundant within disciplines such as psychology, sociology, and anthropology, among others. The main argument made in this dissertation, however, is that a different perspective is necessary in order to gain insight about individuals when facing the complex problems that are presented within engineering and management disciplines. This is done by developing the Philosophical Profile of the Individual (PPI) that uses epistemology, ontology and teleology as underlying dimensions of philosophical predispositions. The epistemology dimension considers whether an individual is an Empiricist or a Rationalist, the ontology dimension consists of the Substantive and Process predispositions, and the teleology dimension represents whether the individual is goal-oriented or not. By using these three dimensions, researchers may understand how an individual chooses to acquire knowledge about a certain problem, how an individual defines a problem and how the purpose towards a certain future is obtained. Through a Rationalist Deductive Methodology, and the use of Agent-Based Modeling as a tool, insight is gained on how different individuals with different philosophical profiles deal with complex problems, which are defined in terms of the amount of available information, stability, ambiguity, number of entities, and temporal constraints.

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Developing a philosophical profile of the individual for complex problem-solving through agent-based modeling

Fieldwork is anthropology's primary data-gathering device, providing a boundary marker from related disciplines. Since data obtained through fieldwork form the bases of anthropological theory, it is crucial that their truth value be analyzed. The paper discusses reasons for both the relative lack of epistemological concern in anthropology until recent times and its current vogue. The empirical foundations of fieldwork are examined and a grid is presented for judging the philosophical position of fieldworkers. Application of the methods suggested is illustrated by a case study of missionary/anthropologist field interaction. Finally, an argument is outlined against both rationalism and phenomenology as being antiscientific. These last two positions are seen as the logical result of anthropology's neglect of epistemology. [epistemology, fieldwork, methodology, recurrent relationships, empiricism]

https://anthrosource.onlinelibrary.wiley.com/doi/pdf/10.1525/aa.1979.81.1.02a00040

Harry J. Kienzle

Papers

Epistemology and Sociology