Sentence examples for different knowledge systems from inspiring English sources

Mechanisms are needed for integrating different knowledge systems for effectively managing MDMCs.

In addition, five challenges for this science are identified: accounting for change, addressing sponsorship and timelines, appreciating different knowledge systems, adaptively communicating, and improving linkages to policy.

Both approaches, each having advantages, have had limited success in effectively managing MDMCs, with a low level of local involvement, and a minimal integration of the different knowledge systems.

Based on the comparative analysis of these cases, we were able to define five components that allow the organisation of the social interface: define common goals; identify the actors; integrate different knowledge systems; design the process; and guard transparency, fairness and procedural justice of the process.

Making an (analytical) distinction between three main dimensions of the interface of policy making, namely the presence of a multitude of actors, the difficulty of integrating different knowledge systems and the need to reconcile different policy levels, enabled us to deal with the complexity of policy making processes.

To most, Western knowledge and Indigenous knowledge are two very different knowledge systems but treating these as mutually exclusive, or as black and white, does not provide a useful way forward (Nakata, 2007).

On the other hand, evidence for a multidimensional neuropsychological organization of music knowledge suggests parallels with other cognitive domains and argues for important similarities in the cognitive architecture of different brain knowledge systems.

Although, the past researchers had attempted to select the appropriate machining centres using different knowledge-based systems, mathematical models and multi-criteria decision-making methods, none of those approaches has given due importance to the voice of customers.

This external capacity building presupposes an integration (but not necessarily reconciling) and synthesis of knowledge across different disciplines and knowledge systems, and requires transparency of key uncertainties and normative assumptions.

With built-in artificial intelligence in different knowledge domains, intelligent systems are capable of gathering information, processing problems, drawing inferences, and generating solutions (Krishnakumar 2003).

More specific criteria for SPIs thus target the inclusion of marginalized viewpoints, different disciplinary insights, local knowledge systems or institutional knowledge both (1) by actively targeting underrepresented viewpoints at SPIs and (2) by active organizational support for marginalized groups throughout science-policy processes.