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In DBHS, one sort of agents, called static agents, individually acts as domain agents, resources agents, user interface agents and gateway agents.
In this paper, we assume that agents individually face abductive or inductive tasks in a globally coherent environment, and we show that general mechanisms can be designed that abstractly regard both cases as special instances of a problem of hypothesis refinement through propagation.
Agents individually assess their situations and make their decisions using their rule set.
His works take pains either to ascribe moral responsibility to agents individually or collectively or to set the ontological foundations for such ascriptions.
By modeling these agents individually, the full effects of the diversity that exists among agents with respect to their attributes and behaviors can be observed as they give rise to the dynamic behavior of the system as a whole.
Therefore, probes also run in constant time and use constant space relative to N. Drawing the interaction spaces usually involves rendering many, if not all, of the agents individually.
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We first prepared serial dilutions of each contrast agent individually in deionized water to enable assessment of the individual relaxivities for each agent (r1G, r2G, r1M, r2M).
Most existing tests use this method to test ticks for each agent individually.
Following the test-driven development (TDD) paradigm, we present a framework that allows MAS developers to write test scenarios that test each agent individually.
The CI values were calculated according to the levels of growth inhibition (Fraction affected, Fa) by each agent individually and combination of ABT-869 with SAHA.
As the actions of cell migration and division are modelled as discrete steps that are applied to each agent individually there is a possibility that the simulated cells may overlap on the virtual culture plate.
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