In this paper, a novel unsupervised approach based on PulseCoupled Neural Networks (PCNNs) for image change detection is discussed. PCNNs are based on the implementation of the mechanisms underlying the visual cortex of small mammals and with respect to more traditional neural networks architectures own interesting advantages. In particular, they are unsupervised and context sensitive. The perf...

In this work we propose a method to infer context-sensitive languages from positive structural examples produced by linear grammars. Our approach is based on a representation theorem induced by two operations over strings: duplication and reversal. The inference method produces an acceptor device which is an unconventional model of computation based on biomolecules (DNA computing). We prove tha...

We propose a motivation from “first principles” of a small set of abstractions for ex-pressing and analyzing service based systems. In particular, we suggest the aspects ofdistribution, process delegation, communication and context sensitiveness, and loose cou-pling as specific to the service-oriented computational model. Distinguishing aspects ofour model are the adoption o...

In a series of recent articles Angelika Kratzer has argued that the standard account of modality along Kripkean lines is inadequate in order to represent context-dependent modals. In particular she argued that the standard account is unable to deliver a non-trivial account of modality capable of overcoming inconsistencies of the underlying conversational background. She also emphasized the diff...

Mildly context sensitive grammar formalisms such as multi-component TAGs and linear context free rewrite systems have been introduced to capture the full complexity of natural languages. We show that, in a formal sense, Old Georgian can be taken to provide an example of a non-semilinear language. This implies that none of the aforementioned grammar formalisms is strong enough to generate this l...

In this paper we propose a new approach enabling users to intuitively navigate in arbitrary virtual 3D-worlds via natural spontaneous speech. Three different approaches are considered and evaluated: First of all, two stochastic topdown decoders a oneand a two-pass, split between acoustic and semantic layers. Besides these, a new two-pass decoder is being introduced. Two interfaces allow for mul...

A recent hypothesis in empirical brain research on language is that the fundamental difference between animal and human communication systems is captured by the distinction between finitestate and more complex phrase-structure grammars, such as context-free and context-sensitive grammars. However, the relevance of this distinction for the study of language as a neurobiological system has been q...

Knowledge-intensive work plays an increasingly important role in organisations of all types. This work is characterized by a defined input and a defined output but not the way how to transform the input to an output. Within this context, the research project DYONIPOS aims at encouraging the two crucial roles in a knowledge-intensive organization the process executer and the process engineer. Ad...

We show that if Part(κ, λ) holds for every λ ≥ κ, then κ is strongly compact. Let κ be a regular infinite cardinal, and let λ ≥ κ be a cardinal. Pκ(λ) denotes the set of all subsets of λ of size less than κ. Part(κ, λ) means that for every F : Pκ(λ) × Pκ(λ) → 2, there is a cofinal subset A of (Pκ(λ),⊆) such that F is constant on the set {(a, b) ∈ A × A : a ⊂ b}. This definition is due to Jech [...

This paper discusses the incorporation of feedback and feedback control in the modeling of biological and robotic systems via Lindenmayer representations. Context-free, context-sensitive, parametric, context-sensitive parametric and context-sensitive parametric Lindenmayer systems under feedback control are discussed. Proposals are made on how to modify generative context-sensitive parametric L...