Visual programming with recursion patterns in interaction nets

In this paper we propose to use Interaction Nets as a formalism for Visual Functional Programming. We consider the use of recursion patterns as a programming idiom, and introduce a suitable archetype/instantiation mechanism for interaction agents, which allows one to define agents whose behaviour is based on recursion patterns.Fundação para a Ciência e a Tecnologia (FCT

Functional programming and program transformation with interaction nets

Techon. Report DI-PURe 05.05.02.In this paper we propose to use Interaction Nets as a formalism for Visual Functional Programming. We consider the use of recursion patterns and introduce a suitable archetype/instantiation mechanism for interaction agents. We also consider program transformation by fusion, a well-known transformation technique, and show that this extends smoothly to our visual programming framework. Examples of applying this technique include transformations of two-pass functions into single-pass ones, and the introduction of accumulations

Iterators and interaction

Eigth International Workshop on Computing with Terms and Graphs (TERMGRAPH’09), 2009We propose a method for encoding iterators (and recursion operators in general) using interaction nets. There are two main applications for this: the method can be used to obtain a visual notation for functional programs, in a visual programming system; and it can be used to extend the existing translations of the λ-calculus into interaction nets (that have been proposed as efficient implementation mechanisms) to languages with recursive types. This work can also be seen as a study of the relation between interaction net programming and functional programming

Neurons and symbols: a manifesto

We discuss the purpose of neural-symbolic integration including its principles, mechanisms and applications. We outline a cognitive computational model for neural-symbolic integration, position the model in the broader context of multi-agent systems, machine learning and automated reasoning, and list some of the challenges for the area of neural-symbolic computation to achieve the promise of effective integration of robust learning and expressive reasoning under uncertainty

A tool for programming with interaction nets

Proceedings of the Eighth International Workshop on Rule Based Programming (RULE 2007)This paper introduces INblobs, a visual tool developed at Minho for integrated development with Interaction Nets. Most of the existing tools take as input interaction nets and interaction rules represented in a textual format. INblobs is first of all a visual editor that allows users to edit interaction systems (both interaction nets and interaction rules) graphically, and to convert them to textual notation. This can then be used as input to other tools that implement reduction of nets. INblobs also allows the user to reduce nets within the tool, and includes a mechanism that automatically selects the next active pair to be reduced, following one of the given reduction strategies. The paper also describes other features of the tool, such as the creation of rules from pre-defined templates.Fundação para a Ciência e a Tecnologia (FCT

Analysable software language translations

Dissertação para obtenção do Grau de Doutor em Engenharia InformáticaThe most difficult tasks in the Software Language Engineering (SLE) process, are the design of the semantics of a Domain Specific Modeling Language (DSML), its implementation (typically in a form of a compiler), and also its verification and validation. On the one hand, the choice of the appropriate level of abstraction when designing a DSML’s semantics, affects directly its usability, and the potential for its analysis. On the other hand, in practice, not only the compiler’s implementation, but also its verification and validation are performed manually, while having as reference the DSML’s semantic models. The challenge of this research work is to apply a complete model driven software development approach in the tasks of designing a DSML’s semantics, implementing, verifying and validating DSMLs’ compilers. This involves the choice of the most appropriate abstraction levels, and the design and development of adequate tools to support SLE practitioners on these tasks. This thesis reports: i) the design and implementation of formal languages (and associated tools) to support the task of DSML’s semantics design (i.e., DSLTrans and SOS); ii) the automatic generation of DSMLs’ compilers based on translation specifications; and iii) automated validation of DSMLs’ semantic designs based on the analysis of translation specifications. Finally, the approach presented in this thesis is illustrated with the design and implementation of a real life DSML

Declarative operations on nets

To increase the expressiveness of knowledge representations, the graph-theoretical basis of semantic networks is reconsidered. Directed labeled graphs are generalized to directed recursive labelnode hypergraphs, which permit a most natural representation of multi-level structures and n-ary relationships. This net formalism is embedded into the relational/functional programming language RELFUN. Operations on (generalized) graphs are specified in a declarative fashion to enhance readability and maintainability. For this, nets are represented as nested RELFUN terms kept in a normal form by rules associated directly with their constructors. These rules rely on equational axioms postulated in the formal definition of the generalized graphs as a constructor algebra. Certain kinds of sharing in net diagrams are mirrored by binding common subterms to logical variables. A package of declarative transformations on net terms is developed. It includes generalized set operations, structure-reducing operations, and extended path searching. The generation of parts lists is given as an application in mechanical engineering. Finally, imperative net storage and retrieval operations are discussed

Apperceptive patterning: Artefaction, extensional beliefs and cognitive scaffolding

In “Psychopower and Ordinary Madness” my ambition, as it relates to Bernard Stiegler’s recent literature, was twofold: 1) critiquing Stiegler’s work on exosomatization and artefactual posthumanism—or, more specifically, nonhumanism—to problematize approaches to media archaeology that rely upon technical exteriorization; 2) challenging how Stiegler engages with Giuseppe Longo and Francis Bailly’s conception of negative entropy. These efforts were directed by a prevalent techno-cultural qualifier: the rise of Synthetic Intelligence (including neural nets, deep learning, predictive processing and Bayesian models of cognition). This paper continues this project but first directs a critical analytic lens at the Derridean practice of the ontologization of grammatization from which Stiegler emerges while also distinguishing how metalanguages operate in relation to object-oriented environmental interaction by way of inferentialism. Stalking continental (Kapp, Simondon, Leroi-Gourhan, etc.) and analytic traditions (e.g., Carnap, Chalmers, Clark, Sutton, Novaes, etc.), we move from artefacts to AI and Predictive Processing so as to link theories related to technicity with philosophy of mind. Simultaneously drawing forth Robert Brandom’s conceptualization of the roles that commitments play in retrospectively reconstructing the social experiences that lead to our endorsement(s) of norms, we compliment this account with Reza Negarestani’s deprivatized account of intelligence while analyzing the equipollent role between language and media (both digital and analog)