Conservation process model (cpm). A twofold scientific research scope in the information modelling for cultural heritage

The aim of the present research is to develop an instrument able to adequately support the conservation process by means of a twofold approach, based on both BIM environment and ontology formalisation. Although BIM has been successfully experimented within AEC (Architecture Engineering Construction) field, it has showed many drawbacks for architectural heritage. To cope with unicity and more generally complexity of ancient buildings, applications so far developed have shown to poorly adapt BIM to conservation design with unsatisfactory results (Dore, Murphy 2013; Carrara 2014). In order to combine achievements reached within AEC through BIM environment (design control and management) with an appropriate, semantically enriched and flexible The presented model has at its core a knowledge base developed through information ontologies and oriented around the formalization and computability of all the knowledge necessary for the full comprehension of the object of architectural heritage an its conservation. Such a knowledge representation is worked out upon conceptual categories defined above all within architectural criticism and conservation scope. The present paper aims at further extending the scope of conceptual modelling within cultural heritage conservation already formalized by the model. A special focus is directed on decay analysis and surfaces conservation project

Multimedia and Knowledge-based Computer-aided Architectural Design

It appears by now fairly accepted to many researchers in the field of the Computer Aided Architectural Design that the way to realize support tools for these aims is by means of the realization of Knowledge Based Assistants. This kind of computer programs, based on the knowledge engineering, finds their power and efficaciousness by their knowledge bases. Nowdays this kind of tools is leaving the research world and it appears evident that the common graphic interfaces and the modalities of dialogue between the architect and the computer, are inadequate to support the exchange of information that the use of these tools requires. The use of the knowledge bases furthermore, presupposes that the conceptual model of the building realized by others, must be made entirely understandable to the architect . The CAAD Laboratory has carried out a system software prototype based on Knowledge Engineering in the field of hospital buildings. In order to overcame the limit of software systems based on usual Knowledge Engineering, by improving architect-computer interaction, at CAAD Lab it is refining building model introducing into the knowledge base two complementary each other methodologies: the conceptual clustering and multimedia technics. This research will make it possible for architects navigate consciously through the domain of the knowledge base already implemented

A web-based teaching/learning environment to support collaborative knowledge construction in design

A web-based application has been developed as part of a recently completed research which proposed a conceptual framework to collect, analyze and compare different design experiences and to construct structured representations of the emerging knowledge in digital architectural design. The paper introduces the theoretical and practical development of this application as a teaching/learning environment which has significantly contributed to the development and testing of the ideas developed throughout the research. Later in the paper, the application of BLIP in two experimental (design) workshops is reported and evaluated according to the extent to which the application facilitates generation, modification and utilization of design knowledge

Information Processing, Computation and Cognition

Computation and information processing are among the most fundamental notions in cognitive science. They are also among the most imprecisely discussed. Many cognitive scientists take it for granted that cognition involves computation, information processing, or both – although others disagree vehemently. Yet different cognitive scientists use ‘computation’ and ‘information processing’ to mean different things, sometimes without realizing that they do. In addition, computation and information processing are surrounded by several myths; first and foremost, that they are the same thing. In this paper, we address this unsatisfactory state of affairs by presenting a general and theory-neutral account of computation and information processing. We also apply our framework by analyzing the relations between computation and information processing on one hand and classicism and connectionism/computational neuroscience on the other. We defend the relevance to cognitive science of both computation, at least in a generic sense, and information processing, in three important senses of the term. Our account advances several foundational debates in cognitive science by untangling some of their conceptual knots in a theory-neutral way. By leveling the playing field, we pave the way for the future resolution of the debates’ empirical aspects

Actuating (Auto)Poiesis

This paper claims that the use of the computer as generative methodological tool for designing urban and building scenarios (when perceived systematically) is a misnomer, because the typical approach does not account for the incompleteness of computational processes. We will argue that the computerisation of architectural and urban scenarios with autopoietic and/or artificial life simulations does not account for what Edsger W. Dijkstra called “radical novelty”; and Gilles Deleuze termed “line of flight”. Typical computational methods do not open up genuine alternatives that produce radical morphologies. Our argument is predicated on the dominant notion of computation as opposed to a critique of computation per se. A critical analysis of the perception of novelty is made to support our view, and its connection with the incompleteness of axiomatic systems is explored in relation to three phases of cybernetic enquiry. Our argument draws on the ontologies of Alfred North Whitehead and Gilles Deleuze, which we utilise to reorient computational design to emphasise the potential of generating radical novelty and identify the inherent locus therein a matter of nonhuman decision-making