Some controversies in cognitive science, such as arguments about whether classical or distributed connectionist architectures best model the human cognitive system, reenact long‐standing debates in the philosophy of science. For millennia, philosophers have pondered whether mentality can submit to scientific explanation generally and to physical explanation particularly. Recently, positive answers have gained popularity. The question remains, though, as to the analytical level at which mentality is best explained. Is there a level of analysis that is peculiarly appropriate to the (...) explanation of either consciousness or mental contents? Are human consciousness, cognition, and conduct best understood in terms of talk about neurons and networks or schemas and scripts or intentions and inferences? If our best accounts make no appeal to our hopes or beliefs or desires, how do we square those views with our conception of ourselves as rational beings? Moreover, can models of physical processes explain our mental lives? Does mentality require a special level of rational or cognitive explanation, or is it best understood in terms of overall brain functioning or neuronal or molecular or even quantum activities – or any of a dozen levels of physical explanation in between? Also, regardless of how they compare with explanations cast at physical levels, what is the status of psychological explanations that appeal fundamentally to mental contents? (shrink)

The increasing strategic importance of environmental, social and ethical issues as well as related performance measures has spurred interest in corporate sustainability performance measurement and management systems. This paper focuses on the balanced scorecard, a performance measurement and management system aiming at balancing financial and non-financial as well as short and long-term measures. Modifications to the original BSC which explicitly consider environmental, social or ethical issues are often referred to as sustainability balanced scorecards. There is much scholarly discussion about SBSC (...) architecture and how it can be designed to relate performance dimensions, strategic objectives and the logical links among these elements. To synthesise the widely scattered research findings and publications on the SBSC, we conducted a thematic analysis based on a systematic literature review containing 69 relevant articles spanning a period of two decades. We found that sustainability-oriented modifications of the BSC architecture are motivated by instrumental, social/political or normative theoretical perspectives. Moreover, these modifications can be mapped with a typology of generic SBSC architectures. The first dimension of the typology describes the hierarchy between performance perspectives and strategic objectives and how it is related to the organisational value system. The second dimension describes how sustainability-related strategic objectives are integrated into SBSC performance perspectives and how this is related to corporate sustainability strategy. This study contributes to the development of the emerging SBSC literature and practice and, more generally, to research on corporate sustainability performance measurement and management. We conclude with a research agenda and implications for management. (shrink)

In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a mechanism for the (...) automatic and creative re-framing, or re-formulation, of the available knowledge. We show how such mechanism can be obtained trough a framework of dynamic knowledge generation that is able to tackle the problem of commonsense concept combination. In addition, we show how such a framework can be employed in the field of cognitive architectures in order to overcome situations like the impasse in SOAR by extending the possible options of its subgoaling procedures. (shrink)

Well, not anymore. This collection presents a diverse overview of where the development of artificial minds is as the twenty first century begins.

boundaries. It is impossible to do good science without having an appreciation for the problems and concepts in the other levels of abstraction (at least in the direction from biology towards physics), but there are whole sets of tools, methods of analysis, theories and explanations within each discipline which do not cross those boundaries.

A lot of research in cognition and decision making suffers from a lack of formalism. The quantum probability program could help to improve this situation, but we wonder whether it would provide even more added value if its presumed focus on outcome models were complemented by process models that are, ideally, informed by ecological analyses and integrated into cognitive architectures.

The authors, on the basis of brief arguments, have dismissed tensor networks as a viable response to Jackendoff's challenges. However, there are reasons to believe that connectionist approaches descended from tensor networks are actually very well suited to answering Jackendoff's challenges. I rebut their arguments for dismissing tensor networks and briefly compare the approaches.

The frequency of cyberattacks has been rapidly increasing in recent times, which is a significant concern. These attacks exploit vulnerabilities present in the software components that constitute the targeted system. Consequently, the number of vulnerabilities within these software components serves as an indicator of the system’s level of security and trustworthiness. This paper compares the accuracy, trainability and stability to configuration parameters of several neural network architectures, namely Long Short-Term Memory, Multilayer Perceptron and Convolutional Neural Network. These architectures (...) are utilized for forecasting the number of software vulnerabilities within a specified timeframe for a specific software product. By evaluating these neural network models, our aim is to provide insights into their performance and effectiveness in vulnerability forecasting. (shrink)

In a recent systematic review of the Sustainability Balanced Scorecard literature in this journal, we developed a typology of architectures as a basis for the process of SBSC design, implementation, use, and evolution. This paper addresses a comment by Hahn and Figge designed to stimulate further research. We argue that the existing literature demonstrates that the SBSC management tool can play an important role in corporate sustainability. The SBSC architectures—as representations of goals and priorities—form an integral and iterative (...) part of the corporate sustainability strategy-making process and therefore cannot be isolated from it. However, the concept as such should not be overloaded. In this paper, we first reflect on the potentials and constraints of the SBSC in relation to radical or transformational change and measuring performance outcomes on the level of human–earth systems. Second, we discuss the importance of SBSC architecture concerning how it enables the integration of sustainability into business organisations; how both strictly hierarchical cause-and-effect chains and less hierarchical designs can allow companies to seek inclusive profits; and the contingency-based use of generic architectures in contrast to its use as a diagnostic tool. (shrink)

I will present two different applications - Dual PECCS and the TCL reasoning framework - addressing some crucial aspects of commonsense reasoning (namely: dealing with typicality effects and with the problem of commonsense compositionality) in a way that is integrated or compliant with different cognitive architectures. In doing so I will show how such aspects are better dealt with at different levels of representation and will discuss the adopted solution to integrate such representational layers.

This is a partial record of correspondence with an intelligent journalist who was given the task, some time in 1998, of preparing an article on pride, as part of a series of articles on so-called 'seven deadly sins' for a scientific magazine. The journalist first asked me to explain how pride could be accommodated withing the framework of ideas being developed in the Cognition and Affect Project at the University of Birmingham.

Agent-based social simulation (with multi-agent systems), which is an important aspect of social computing, can benefit from incorporating cognitive architectures, as they provide a realistic basis for modeling individual agents and therefore their social interactions. A cognitive architecture is a domain-generic computational cognitive model that may be used for a broad multiple-domain analysis of individual behavior. In this article, an example of a cognitive architecture is given, and its applications to social simulation described. Some challenging issues in this regard (...) are outlined. (shrink)

Recent years have seen a gradual convergence of seemingly distant research fields over a single goal: understanding and replicating biological intelligence in artifacts. This work presents a general overview on the origin, the state-of-the-art, scientific challenges and the future of Biologically Inspired Cognitive Architecture (BICA) research. Our perspective decomposes the field into the four principal semantic components associated with the BICA challenge that together call for an integration of efforts of researchers across disciplines. Areas and directions of study where new (...) integrated efforts will be primarily needed are summarized. (shrink)

I draw parallels and contrasts between dual-system and modular approaches to cognition, the latter standing to inherit the same problems De Neys identifies regarding the former. Despite these two literatures rarely coming into contact, I provide one example of how he might gain theoretical leverage on the details of his “non-exclusivity” claim by paying closer attention to the modularity debate.

We argue that Halford et al.'s characterisation of relational complexity offers an unadaptive principle in terms of cognitive economy, that its relation with the empirical evidence is highly selective, and that the task behaviours used in support of a multivector processing space are better described by linear serial processes which do not require n-dimensional mappings for their emergence.

An earlier version of this paper was presented at the 2011 IEEE International Symposium on Technology and Society at Saint Xavier University in Chicago, Illinois. Perhaps the most remarkable characteristic of digital social games such as Zynga's FarmVille is that they are designed in such a way that any user, regardless of their skills and experience, can familiarise themselves in a matter of moments with the object of the game, the interface, and the tools and options involved in playing them. (...) In contrast, developers of collaborative platforms for teaching and research have been struggling for the last 15 to 20 years to gain a wide acceptance among users, and with very limited success. Although simple and intuitive usability has long been recognised as a key design goal, no-one has, apparently, yet succeeded in integrating all the tools and functions required for academic work into a platform with an intuitive interface that target groups make enthusiastic use of. This paper investigates which principles and features may be adopted to make the use of these platforms easier and more intuitive. This electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. (shrink)