`Misperception and the Causes of War: Theoretical Linkages and Analytical Problems'

There is a conceptual gap between research on causes of warfare and research on conflict resolution. In this paper, we introduce a macro level conceptual framework to promote analysis, implementation and resolution of armed conflict among countries. Three arguments have been advocated, and why are the three questions related to why people start fighting? Why do people stop fighting? How to make peace last long? The first argument has complaints and goals in the form of dissatisfaction, capacity and opportunity of resources, and thinking that there is no substitute for violence to resolve complaints and achieve goals. Second, the concept of Triple-R also explains the "occurrence of peace", the end of war and peacebuilding. Third, the change of dependent variable - the degree of various peace; here we call it Triple - M (mutual deadlock, mutual temptation, mutual reward) - these three explanatory factors changes I will explain

Licklider, Roy (1999) `Fake hope? ' Democracy and the Renaissance War, Mimeo was announced at the International Security Research Council of the International Research Association of Washington, DC from 11th to 13th November. Google Scholar

A descriptive case study. This requires a theoretical approach to problem solving. Display links between objects. It also shows that a single cause may produce a specific effect. For example, researchers hope to collect facts and find relationships between them and study the relationship between a series of facts and another series of facts. Case studies are particularly relevant to selected papers. In order to do paper case studies, authors would like to find an Irish company that had to go abroad to analyze their current situation. Using case studies as the main data collection method is effective for verifying factual information.

Plans and strategies affect sustainability through a variety of complex interactions and links. Quantitative or generalized relationships are often not determined for inappropriate data gaps or analysis methods. As the analysis analyzes the proposed strategy for the impact of sustainability, the causal chain framework organizes information and enhances understanding of universal causality. This framework develops a series of transparent stories about important issues and relevance, and in each case how they are combined. This analysis is usually based on interpretation by experts of existing national and sectoral research from various sources and is supported by empirical data and simulation results as long as they are available.