What you believe is typically responsive to what you perceive, what you recall, what inferences you’ve made and various other factors. Let’s use the term ‘input.

In a globalizing world, governments are not always able or willing to regulate the social and environmental externalities of global business activities. Multi-stakeholder initiatives (MSI), defined as global institutions involving mainly corporations and civil society organizations, are one type of regulatory mechanism that tries to fill this gap by issuing soft law regulation. This conceptual paper examines the conditions of a legitimate transfer of regulatory power from traditional democratic nation-state processes to private regulatory schemes, such as MSIs. Democratic legitimacy is (...) typically concerned with input legitimacy (rule credibility, or the extent to which the regulations are perceived as justified) and output legitimacy (rule effectiveness, or the extent to which the rules effectively solve the issues). In this study, we identify MSI input legitimacy criteria (inclusion, procedural fairness, consensual orientation, and transparency) and those of MSI output legitimacy (rule coverage, efficacy, and enforcement), and discuss their implications for MSI democratic legitimacy. (shrink)

In a globalizing world, governments are not always able or willing to regulate the social and environmental externalities of global business activities. Multi-stakeholder initiatives (MSI), defined as global institutions involving mainly corporations and civil society organizations, are one type of regulatory mechanism that tries to fill this gap by issuing soft law regulation. This conceptual paper examines the conditions of a legitimate transfer of regulatory power from traditional democratic nation-state processes to private regulatory schemes, such as MSIs. Democratic legitimacy is (...) typically concerned with input legitimacy (rule credibility, or the extent to which the regulations are perceived as justified) and output legitimacy (rule effectiveness, or the extent to which the rules effectively solve the issues). In this study, we identify MSI input legitimacy criteria (inclusion, procedural fairness, consensual orientation, and transparency) and those of MSI output legitimacy (rule coverage, efficacy, and enforcement), and discuss their implications for MSI democratic legitimacy. (shrink)

In a range of contexts, one comes across processes resembling inference, but where input propositions are not in general included among outputs, and the operation is not in any way reversible. Examples arise in contexts of conditional obligations, goals, ideals, preferences, actions, and beliefs. Our purpose is to develop a theory of such input/output operations. Four are singled out: simple-minded, basic (making intelligent use of disjunctive inputs), simple-minded reusable (in which outputs may be recycled as inputs), and basic (...) reusable. They are defined semantically and characterised by derivation rules, as well as in terms of relabeling procedures and modal operators. Their behaviour is studied on both semantic and syntactic levels. (shrink)

In a range of contexts, one comes across processes resembling inference, but where input propositions are not in general included among outputs, and the operation is not in any way reversible. Examples arise in contexts of conditional obligations, goals, ideals, preferences, actions, and beliefs. Our purpose is to develop a theory of such input/output operations. Four are singled out: simple-minded, basic (making intelligent use of disjunctive inputs), simple-minded reusable (in which outputs may be recycled as inputs), and basic (...) reusable. They are defined semantically and characterised by derivation rules, as well as in terms of relabeling procedures and modal operators. Their behaviour is studied on both semantic and syntactic levels. (shrink)

In a previous paper we developed a general theory of input/output logics. These are operations resembling inference, but where inputs need not be included among outputs, and outputs need not be reusable as inputs. In the present paper we study what happens when they are constrained to render output consistent with input. This is of interest for deontic logic, where it provides a manner of handling contrary-to-duty obligations. Our procedure is to constrain the set of generators of the (...) input/output system, considering only the maximal subsets that do not yield output conflicting with a given input. When inputs are authorised to reappear as outputs, both maxichoice revision in the sense of Alchourr6n/Makinson and the default logic of Poole emerge as special cases, and there is a close relation with Reiter default logic. However, our focus is on the general case where inputs need not be outputs. We show in what contexts the consistency of input with output may be reduced to its consistency with a truth-functional combination of components of generators, and under what conditions constrained output may be obtained by a derivation that is constrained at every step. (shrink)

Based on the Competition Model, the current study investigated how cue availability and cue reliability as two important input factors influenced second language (L2) learners' cue learning of the English article construction. Written corpus data of university-level Chinese-L1 learners of English were sampled for a comparison of English majors and non-English majors who demonstrated two levels of L2 competence in English article usage. The path model analysis in structural equation modeling was utilized to investigate the relationship between the (...) class='Hi'>input factors and L2 usage (frequency and accuracy of article cue production). The findings contribute novel and scarce empirical evidence that confirms a central claim of the Competition Model, i.e., the changing importance of cue availability and cue reliability in the frequency and accuracy of production. Cue availability was found to determine L2 production frequency regardless of level of L2 competence. Cue reliability was the input factor that differentiated competence levels. When learners stayed at a relatively lower L2 proficiency, cue reliability played an important role in influencing L2 frequency of usage rather than accuracy of usage. When learners developed increased exposure to and stronger competence in the target language, cue reliability played a significant role in determining learners' success of cue learning. The study is methodologically innovative and expands the empirical applicability of the Competition Model to the domain of second language production and construction learning. (shrink)

Language learning requires linguistic input, but several studies have found that knowledge of second language rules does not seem to improve with more language exposure. One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive (...) period, L2 knowledge increased with years of input. Knowledge of different grammar rules was negatively associated with input frequency of those rules. To better understand these effects, we modeled the results using a connectionist model that was trained using Korean as a first language and then English as an L2. To explain the sensitive period in L2 learning, the model's learning rate was reduced in an age-related manner. By assigning different learning rates for syntax and lexical learning, we were able to model the difference between early and late L2 learners in input sensitivity. The model's learning mechanism allowed transfer between the L1 and L2, and this helped to explain the differences between different rules in the grammaticality judgment task. This work demonstrates that an L1 model of learning and processing can be adapted to provide an explicit account of how the input and the sensitive period interact in L2 learning. (shrink)

In his essay "Consumers Need Information: Supplementing Teleosemantics with an Input Condition" (this issue) Nicholas Shea argues, with support from the work of Peter Godfrey-Smith (1996), that teleosemantics, as David Papinau and I have articulated it, cannot explain why "content attribution can be used to explain successful behavior." This failure is said to result from defining the intentional contents of representations by reference merely to historically normal conditions for success of their "outputs," that is, of their uses by interpreting (...) or consuming mechanisms, bypassing the more traditional focus, of those who would naturalize intentional content, on causal or informational inputs. Shea proposes to "add an input condition to teleosemantics," requiring that simple representations must carry "correlational information." I am grateful to Shea for his paper, as it presents me with an opportunity to clarify two fairly central features of my position on intentional content, one of which seems to have been overlooked in the literature (Millikan 1993a), the other of which I have stated previously only in a confusing way (Millikan 2004, Chapters 3-4). The first clarification concerns the general form that I take explanation by reference to intentional states to have. The second concerns my description of "locally recurrent natural information," why this kind of information is needed in place of Shea's "correlational information" to explain what feeds simple representational systems, and why no reference to natural information is needed to account for the success of behaviors by reference to the truth of representations that motivate them. (shrink)

Children with specific language impairment (SLI) show a protracted period of inconsistent use of tense/agreement morphemes. The purpose of this investigation was to determine whether this inconsistent use could be attributed to the children's misinterpretations of particular syntactic structures in the input. In Study 1, preschool-aged children with SLI and typically developing peers heard sentences containing novel verbs preceded by auxiliarywasor sentences in which the novel verb formed part of a nonfinite subject-verb sequence within a larger syntactic structure (e.g.We (...) saw the dog relling). The children were then tested on their use of the novel verbs in contexts that obligated use of auxiliaryis. The children with SLI were less accurate than their peers and more likely to produce the novel verb withoutisif the verb had been heard in a nonfinite subject-verb sequence. In Study 2, children with SLI and typically developing peers were tested on their comprehension of sentences such asThe cow sees the horse eating. The children with SLI were less accurate than their peers and were disproportionately influenced by the nonfinite subject-verb clause at the end of the sentence. We interpret these findings within the framework of construction learning. (shrink)

Distributive theories evaluate distributions of goods based on candidate recipients’ characteristics, e.g. how well off candidates are, how deserving they are, and whether they fare below sufficiency. But such characteristics vary across possible worlds, so distributive theories may differ in terms of the world which for them settles candidates’ characteristics. This paper examines how distributive theories differ in terms of whether candidate recipients’ relevant characteristics are grounded in the possible world that would take place if the distributor does not intervene (...) (call it the “input” world) or if they are grounded in each possible world that the distributor can bring about through different decisions (call each an “output” world). We illustrate the importance of this distinction in relation to one distributive theory, prioritarianism. As we show, both input and output versions of prioritarianism are plausible interpretations of the literature, and there are good reasons to take input prioritarianism seriously. Ultimately, however, we argue that input prioritarianism should be rejected. (shrink)

In this article, I suggest that combining resources from philosophy and psychology can yield useful tools for philosophical counselling. More specifically, I argue for three theses: a) Iris Murdoch’s notion of just attention and Marshall Rosenberg’s method of non-violent communication are interestingly compatible; b) engaging in non-violent communication serves to support one’s endeavors to acquire the kind of clear vision Murdoch thinks doing well by others requires; and c) non-violent just communication would be beneficial to both counsellors and counselees and (...) thus a useful resource for philosophical counsellors. (shrink)

It remains a standing problem how and why the first nervous systems evolved. Molecular and genomic information is now rapidly accumulating but the macroscopic organization and functioning of early nervous systems remains unclear. To explore potential evolutionary options, a coordination centered view is discussed that diverges from a standard input–output view on early nervous systems. The scenario involved, the skin brain thesis, stresses the need to coordinate muscle-based motility at a very early stage. This paper addresses how this scenario (...) with its focus on coordination also deals with sensory aspects. It will be argued that the neural structure required to coordinate extensive sheets of contractile tissue for motility provides the starting point for a new multicellular organized form of sensing. Moving a body by muscle contraction provides the basis for a multicellular organization that is sensitive to external surface structure at the scale of the animal body. Instead of thinking about early nervous systems as being connected to the environment merely through input and output, the implication developed here is that early nervous systems provide the foundation for a highly specific animal sensorimotor organization in which neural activity directly reflects bodily and environmental spatiotemporal structure. While the SBT diverges from the input–output view, it is closely linked to and supported by ongoing work on embodied approaches to intelligence to which it adds a new interpretation of animal embodiment and sensorimotor organization. (shrink)

This collection of writings provides the only comprehensive introduction to the input-output model for which Leontief was awarded the Nobel Prize in 1973. The structural approach to economics developed by Leontief, and known as input-output analysis, paved the way for the transformation of economics into a truly empirical discipline that could utilize modern data processing technology. This thoroughly revised second edition includes twenty essays--twelve of which are new to this edition--that reflect the past developments and the present state (...) of the field. Beginning with an introductory chapter, the book leads the reader into an understanding of the input-output approach--not only as formal theory but also as a research strategy and powerful tool for dealing with a complex modern economy. (shrink)

We translate unconstrained and constrained input/output logics as introduced by Makinson and van der Torre to modal logics, using adaptive logics for the constrained case. The resulting reformulation has some additional benefits. First, we obtain a proof-theoretic characterization of input/output logics. Second, we demonstrate that our framework naturally gives rise to useful variants and allows to express important notions that go beyond the expressive means of input/output logics, such as violations and sanctions.

Input/output logics are abstract structures designed to represent conditional obligations and goals. In this paper we use them to study conditional permission. This perspective provides a clear separation of the familiar notion of negative permission from the more elusive one of positive permission. Moreover, it reveals that there are at least two kinds of positive permission. Although indistinguishable in the unconditional case, they are quite different in conditional contexts. One of them, which we call static positive permission, guides the (...) citizen and law enforcement authorities in the assessment of specific actions under current norms, and it behaves like a weakened obligation. Another, which we call dynamic positive permission, guides the legislator. It describes the limits on the prohibitions that may be introduced into a code, and under suitable conditions behaves like a strengthened negative permission. (shrink)

This collection of writings provides the only comprehensive introduction to the input-output model for which Leontief was awarded the Nobel Prize in 1973. The structural approach to economics developed by Leontief, and known as input-output analysis, paved the way for the transformation of economics into a truly empirical discipline that could utilize modern data processing technology. This thoroughly revised second edition includes twenty essays--twelve of which are new to this edition--that reflect the past developments and the present state (...) of the field. Beginning with an introductory chapter, the book leads the reader into an understanding of the input-output approach--not only as formal theory but also as a research strategy and powerful tool for dealing with a complex modern economy. (shrink)

I consider some of the claims that have been made for and against the nature of the INPUT in OT syntax as developed within the assumptions of the Minimalist Program, leading to suggestions for further specification of the architecture of this approach. Comparing with the role of faithfulness in the OT approach developed from Lexical-Functional Grammar, I argue that specific linguistic analyses crucially involve reference to faithfulness constraints (MAX and DEP in correspondence-based OT) which apply across different parts of (...) the output structures, but do not need to refer to the INPUT. I conclude that while OT syntax does not need INPUTs per se, it does need faithfulness constraints. (shrink)

This is the first of four chapters on value democracy, and focuses on ‘input democracy’, which aims to give everyone a ‘voice’, rather than necessarily an equal ‘say’ over the ultimate outcome, and stands in contrast to ‘output democracy’. The two terms mark a distinction between a concern with the early and late stages of the political process, and can be viewed as who gets a vote versus how votes are aggregated; they are, of course, causally connected; while the (...) two models are thus empirically intertwined, they are analytically distinct, and the analytics can sometimes be of practical consequence as well. After sketching the central concerns of the two models generically, Schumpeter's model is presented as the paradigmatically output‐oriented account. What might be regarded as a paradigmatically input‐oriented model is then sketched to contrast with it; this, although an analytic construct, is loosely modelled on and represented by the sort of ‘consultative democracy’ characteristic of the Nordic countries and, indeed, of ‘corporatist’ and ‘consociational’ democracies worldwide. The different sections of the chapter are: Against a Preoccupation with Outputs; Institutional Embodiments: Contrasting the Limiting Cases—Schumpeterian democracy and consultative democracy; and Why Inputs Matter, Democratically. (shrink)

This study focused on the identification problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals. The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes as two separate featured input signals. These two input signals were grouped in a number of clusters using the K-means clustering algorithm. The clustered input signals were (...) supplied to the model in an orderly fashion from cluster-1 up to cluster-K. To ensure that the output signal can be best predicted from the input signal which in turn leads to selecting good enough model for its intended use, the magnitude-squared coherence measure is applied to the input/output signals in the cases of clustered and nonclustered inputs, which indicates best correlation coefficient when measured with clustered inputs. From collected input-output signals, we deduce a K-means clustering based recursive least squares method for estimating the parameter of autoregressive moving average system. The simulation results indicate that the suggested method is effective. (shrink)

There are clear associations between the overall quantity of input children are exposed to and their vocabulary acquisition. However, by uncovering specific features of the input that matter, we can better understand the mechanisms involved in vocabulary learning. We examine whether exposure to wh-questions, a challenging quality of the communicative input, is associated with toddlers' vocabulary and later verbal reasoning skills in a sample of low-income, African-American fathers and their 24-month-old children. Dyads were videotaped in free play (...) sessions at home. Videotapes were transcribed and reliably coded for sheer quantity of fathers' input as well as the number of wh-questions fathers produce. Children's productive vocabulary was measured at 24 months using the McArthur Bates Communicative Development Inventory MCDI, and children's verbal reasoning skills were measured 1 year later using the Bayley Scales of Infant Development. Results indicate that the overall quantity of father talk did not relate to children's vocabulary or reasoning skills. However, fathers' use of wh-questions related to both vocabulary and reasoning outcomes. Children's responses to wh-questions were more frequent and more syntactically complex, measured using the mean length of utterance, than their responses to other questions. Thus, posing wh-questions to 2-year-olds is a challenging type of input, which elicits a verbal response from the child that likely helps build vocabulary and foster verbal reasoning abilities. (shrink)

An underlying assumption in computational approaches in cognitive and brain sciences is that the nervous system is an input–output model of the world: Its input–output functions mirror certain relations in the target domains. I argue that the input–output modelling assumption plays distinct methodological and explanatory roles. Methodologically, input–output modelling serves to discover the computed function from environmental cues. Explanatorily, input–output modelling serves to account for the appropriateness of the computed function to the explanandum information-processing task. (...) I compare very briefly the modelling explanation to mechanistic and optimality explanations, noting that in both cases the explanations can be seen as complementary rather than contrastive or competing. (shrink)

Jerry Fodor argues that the massive modularity thesis – the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules – is a priori incoherent, self-defeating. The thesis suffers from what Fodor dubs the input problem: the function of a given module (proprietarily understood) in a wholly modular system presupposes non-modular processes. It will be argued that massive modularity suffers from no such a priori problem. Fodor, however, also offers what he describes as a (...) really real input problem (i.e., an empirical one). It will be suggested that this problem is real enough, but it does not selectively strike down massive modularity – it is a problem for everyone. (shrink)

During sensory stimulation, visual cortical neurons undergo massive synaptic bombardment. This increases their input conductance, and action potentials mainly result from membrane potential fluctuations. To understand the response properties of neurons operating in this regime, we studied a model neuron with synaptic inputs represented by transient membrane conductance changes. We show that with a simultaneous increase of excitation and inhibition, the firing rate first increases, reaches a maximum, and then decreases at higher input rates. Comodulation of excitation and (...) inhibition, therefore, does not provide a straightforward way of controlling the neuronal firing rate, in contrast to coding mechanisms postulated previously. The synaptically induced conductance increase plays a key role in this effect: it decreases firing rate by shunting membrane potential fluctuations, and increases it by reducing the membrane time constant, allowing for faster membrane potential transients. These findings do not depend on details of the model and, hence, are relevant to cells of other cortical areas as well. (shrink)

How should a machine intelligence perform unsupervised structure discovery over streams of sensory input? One approach to this problem is to cast it as an apperception task [1]. Here, the task is to construct an explicit interpretable theory that both explains the sensory sequence and also satisfies a set of unity conditions, designed to ensure that the constituents of the theory are connected in a relational structure. However, the original formulation of the apperception task had one fundamental limitation: it (...) assumed the raw sensory input had already been parsed using a set of discrete categories, so that all the system had to do was receive this already-digested symbolic input, and make sense of it. But what if we don't have access to pre-parsed input? What if our sensory sequence is raw unprocessed information? The central contribution of this paper is a neuro-symbolic framework for distilling interpretable theories out of streams of raw, unprocessed sensory experience. First, we extend the definition of the apperception task to include ambiguous (but still symbolic) input: sequences of sets of disjunctions. Next, we use a neural network to map raw sensory input to disjunctive input. Our binary neural network is encoded as a logic program, so the weights of the network and the rules of the theory can be solved jointly as a single SAT problem. This way, we are able to jointly learn how to perceive (mapping raw sensory information to concepts) and apperceive (combining concepts into declarative rules). (shrink)

Private governance raises important questions about democratic representation. Rule making is rarely based on electoral authorisation by those in whose name rules are made—typically a requirement for democratic legitimacy. This requires revisiting the role of representation in input legitimacy in transnational governance, which remains underdeveloped. Focussing on private labour governance, we contrast two approaches to the transnational representation of worker interests in global supply chains: non-governmental organisations providing representative claims versus trade unions providing representative structures. Studying the Bangladesh Accord (...) for Fire and Building Safety, we examine their interaction along three dimensions of democratic representation: 1) creating presence, 2) authorisation, and 3) accountability to affected constituents. We develop a framework that explains when representative claims and structures become complementary but also how the politics of input legitimacy shapewhoseinterests get represented. We conclude by deriving theoretical and normative implications for transnational representation and input legitimacy in global governance. (shrink)

This paper attempts to answer a central question in unsupervised learning: what does it mean to “make sense” of a sensory sequence? In our formalization, making sense involves constructing a symbolic causal theory that both explains the sensory sequence and also satisfies a set of unity conditions. The unity conditions insist that the constituents of the causal theory – objects, properties, and laws – must be integrated into a coherent whole. On our account, making sense of sensory input is (...) a type of program synthesis, but it is unsupervised program synthesis. Our second contribution is a computer implementation, the Apperception Engine, that was designed to satisfy the above requirements. Our system is able to produce interpretable human-readable causal theories from very small amounts of data, because of the strong inductive bias provided by the unity conditions. A causal theory produced by our system is able to predict future sensor readings, as well as retrodict earlier readings, and impute (fill in the blanks of) missing sensory readings, in any combination. In fact, it is able to do all three tasks simultaneously. We tested the engine in a diverse variety of domains, including cellular automata, rhythms and simple nursery tunes, multi-modal binding problems, occlusion tasks, and sequence induction intelligence tests. In each domain, we test our engine's ability to predict future sensor values, retrodict earlier sensor values, and impute missing sensory data. The Apperception Engine performs well in all these domains, significantly out-performing neural net baselines. We note in particular that in the sequence induction intelligence tests, our system achieved human-level performance. This is notable because our system is not a bespoke system designed specifically to solve intelligence tests, but a general-purpose system that was designed to make sense of any sensory sequence. (shrink)

As discussed previously (see Libertarian Papers, Vol. 3, Part 1 Now Available in Print and Ebook), we recently decided to start offering Paper and Ebook Versions of Libertarian Papers articles, by occasionally collecting them into Parts (like issues) and offered for sale in print versions and epub versions on the major epub retailers. We did [...].

Correlation analyses of recent back‐propagation neural networks show that network results are due to imbalances in stimulus input. Conclusions concerning the effects of receptive field size, hemispheric specialization, and other issues of relevance to psychology cannot therefore be drawn until the dominating effects of low‐level correlations are removed. Statistical techniques for evaluating the stimulus materials for neural networks are introduced.

A tendency of auditory cortical neurons to respond at the beginning of major transitions in sounds rather than providing a continuously updated spectral-temporal profile may impede the generation of combination-sensitivity for certain classes of stimuli. Potential consequences of the cortical encoding of voiced stop-consonants on representational principles derived from orderly output constraints are discussed.

It is assumed sometimes that the input of a measurement, and therefore the entity with which a measuring system interacts, is a quantity value, possibly the (true) measurand value, and from this hypothesis the model of ideal measurement as an identity process is formulated. In this paper we show that this position is based on an inappropriate superposition of quantities and quantity values, and therefore should be discarded.