This paper develops a theory for learning scenarios where multiple learners co-exist but there are mutual coherency constraints on their outcomes. This is natural in cognitive learning situations, where “natural” constraints are imposed on the outcomes of classifiers so that a valid sentence, image or any other domain representation is produced. We formalize these learning situations, after a m...

The existing research proposes an intra-pulse frequency agile radar waveform with “active” anti-jamming characteristics. It uses the discontinuity and periodicity of interrupted-sampling repeater jamming combines algorithm to effectively suppress jamming. In order improve effectiveness interferer for waveform, this paper jam by using a non-uniform forwarding method under parameter constraints. ...

In this paper, a mathematical method is proposed to formulate a generalized ordering problem. This model is formed as a linear optimization model in which some variables are binary. The constraints of the problem have been analyzed with the emphasis on the assessment of their importance in the formulation. On the one hand, these constraints enforce conditions on an arbitrary subgraph and then g...

Writing is an extremely difficult task because it requires the simultaneous solution of multiple, often conflicting constraints. This paper describes a two-component system which helps students write by helping them learn what the different constraints are, and how to address them. The first component is a 3D role-playing environment in which students control characters that are put in difficul...

In this paper we describe insights for theories of natural intelligence that arise from recent advances in architectures for robot intelligence. In particular we advocate a sketch theory for the study of both natural and artificial intelligence that consists of a set of constraints on architectures. The sketch includes the use of multiple shared workspaces, parallel asynchronous refinement of s...