Semiotic Cognitive Information Processing (SCIP) is inspired by information systems theory and grounded in (natural/artificial) system-environment situations. SCIP systems’ knowledge-based natural language processing (NLP) of information makes it cognitive, their sign and symbol generation, manipulation, and understanding capabilities render it semiotic. Based upon structures whose representati...

Humans routinely generalize universal relationships to unfamiliar instances. If we are told "if glork then frum," and "glork," we can infer "frum"; any name that serves as the subject of a sentence can appear as the object of a sentence. These universals are pervasive in language and reasoning. One account of how they are generalized holds that humans possess mechanisms that manipulate symbols ...

In ironic processing, one is more likely to think about something (e.g., white bears) when instructed to not think about that thing. Entry into consciousness of such content may be automatic, reflecting the 'encapsulated' nature of the generation of conscious contents. Based on this research, the Reflexive Imagery Task (RIT) reveals that, following the activation of action sets, conscious conte...

This paper explores and reasons about the interplay between symbolic and continuous representations. We first provide some historical perspective on signal and symbol integration as viewed by the Artificial Intelligence (AI), Robotics and Computer Vision communities. The domain of autonomous robotic agents residing in dynamically changing environments anchors well different aspects of this inte...

A synthesis-by-rule system based on the selective use of non-uniform synthesis units has been developed. This system uses a natural speech database and an algorithm which searches the database for the optimal speech segment to be used as the synthesis unit. Because of flexible use of synthesis units, this scheme has great advantages, especially in expressing many coarticulat~ry variations. Howe...

This paper discusses the reliability of operation of an on-line computer system described by a semi-Markov process model. Analytical solutions are obtained by using computer-aided algebraic manipulation techniques. This paper demonstrates that the difficulties of obtaining analytical solutions to Markov processes by standard techniques can be considerably reduced by the application of algebraic...

2 experiments were performed to examine the effects of manipulating conceptidentification task requirements involving (a) discrimination (DC cue type), (b) discrimination plus symbol manipulation (DS cue type), and (c) retention of concept information on correct identifications, false-positive errors, and response latencies for 3 levels of schizophrenic pathology and nonpsychotic Ss. Results of...

In discussions regarding models of cognition, the very mention of “computationalism” often incites reactions against the insufficiency of the Turing machine model, its abstractness, determinism, the lack of naturalist foundations, triviality and the absence of clarity. None of those objections, however, concerns models based on natural computation or computing nature, where the model of computa...