FACTOR RELATIONS IN AGRICULTURE – CONCEPTUAL REASONING WITH EMPIRICAL VERIFICATION

Mapping conceptual to spatial relations in visual reasoning.

In 3 experiments, the authors investigated the impact of goals and perceptual relations on graph interpretation when people evaluate functional dependencies between continuous variables. Participants made inferences about the relative rate of 2 continuous linear variables (altitude and temperature). The authors varied the assignments of variables to axes, the perceived cause-effect relation bet...

Cautious analogical-proportion based reasoning using qualitative conceptual relations

Propositional rule bases may be incomplete in the sense that some situations of interest are not explicitly covered by any of their rules. While logical deduction does not produce meaningful results in such a case, a variety of methods have been proposed to derive plausible conclusions about a given situation, by comparing it with similar or analogous situations that are explicitly covered by a...

Qualitative reasoning with directional relations

Qualitative spatial reasoning (QSR) pursues a symbolic approach to reasoning about a spatial domain. Qualitative calculi are defined to capture domain properties in relation operations, granting a relation algebraic approach to reasoning. QSR has two primary goals: providing a symbolic model for human common-sense level of reasoning and providing efficient means for reasoning. In this paper, we...

DFID’s Conceptual Framework on Agriculture

Conceptual Reasoning Conceptual Reasoning Belief, Multiple Agents and Preference

One of the central issues in the area of knowledge representation and reasoning is common sense reasoning. This includes logics of knowledge and belief, nonmonotonic reasoning, truth-maintenance, and belief revision. Within these elds the notion of a consistent belief state is the crucial one. Additionally, there is a growing interest in partial information states. Within this interest informat...