The 18th International Conference on Cognitive Modelling (ICCM 2020) brought together researchers whose goal is to develop computational simulations of the mind, and to use those simulations to test theories about how the mind works. In this special issue, we present four top papers from ICCM 2020. Two of these address the challenge of scaling up to more complex tasks, and the other two address the challenge of scaling down to connect these computational models to neuroscience.

Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic grid‐navigation task is employed to highlight performance advantages for the integrated model in an environment where the reward structure is both diverse and dynamic. The (...) second and third simulations contrast the performances of the three models in behavioral experiments, demonstrating advantages for the integrated model in accounting for behavioral data. (shrink)

For more than a century, phenomenology’s relation to history has remained a problem for phenomenological analysis. This can in part be attributed to the circumstances surrounding the beginnings of phenomenology. As Europe moved increasingly toward world war at the turn of the 20th century, a growing consciousness of the historical relativity of all values and knowledge spread throughout the continent, leading Ernst Troeltsch to speak of the “crisis of historicism” (Rand 1964, 504-5). In this same context, Edmund Husserl framed phenomenological (...) analysis in opposition to history. While Husserl recognized the “tremendous value” that history has to offer philosophical thinking, he believed that a purely historical reduction of consciousness necessarily results in the relativity of historical understanding itself, like a serpent that bites its own tail (Husserl 2002, 280). If phenomenology was to be a genuine science, it had to attempt a phenomenological reduction which would seize upon the essence of our historical being, i.e., our essence as beings that exist within history and are inseparable from it. What was required over and beyond a historical understanding of lived experience was an analysis of the structure of historicity itself (293-4). (shrink)

Most computational theories of cognition lack a representation of physiology. Understanding the cognitive effects of compounds present in the environment is important for explaining and predicting changes in cognition and behavior given exposure to toxins, pharmaceuticals, or the deprivation of critical compounds like oxygen. This research integrates physiologically based pharmacokinetic (PBPK) model predictions of caffeine concentrations in blood and tissues with ACT-R's fatigue module to predict the effects of caffeine on fatigue. Mapping between the PBPK model parameters and ACT-R model (...) parameters is informed by the neurophysiological literature and established associations between ACT-R modules and brain regions. The results from three such parameter mappings are explored to explain observed data from sleep-deprived participants performing the psychomotor vigilance test with and without caffeine. Predicted caffeine concentrations in the brain are used to modulate procedural parameters in the fatigue module to explain caffeine's effects on multiple performance metrics. (shrink)

Cognition in work teams has been predominantly understood and explained in terms of shared cognition with a focus on the similarity of static knowledge structures across individual team members. Inspired by the current zeitgeist in cognitive science, as well as by empirical data and pragmatic concerns, we offer an alternative theory of team cognition. Interactive Team Cognition (ITC) theory posits that (1) team cognition is an activity, not a property or a product; (2) team cognition should be measured and studied (...) at the team level; and (3) team cognition is inextricably tied to context. There are implications of ITC for theory building, modeling, measurement, and applications that make teams more effective performers. (shrink)

In team-based tasks, successful communication and mutual understanding are essential to facilitate team coordination and performance. It is well-established that an important component of human conversation is the maintenance of common ground. Maintaining common ground has a number of associated processes in which conversational participants engage. Many of these processes are lacking in current synthetic teammates, and it is unknown to what extent this lack of capabilities affects their ability to contribute during team-based tasks. We focused our research on how (...) teams package information within a conversation, by which we mean specifically whether information is explicitly mentioned or implied, and how multiple pieces of information are ordered both within single communications and across multiple communications. We re-analyzed data collected from a simulated remotely-piloted aerial system task in which team members had to specify speed, altitude, and radius restrictions. The data came from three experiments: the “speech” experiment, the “text” experiment, and the “evaluation” experiment. We asked first whether teams settled on a specific routine for communicating the speed, altitude, and radius restrictions, and whether this process was different if the teams communicated in speech compared to text. We then asked how receiving special communication instructions in the evaluation experiment impacted the way the human teammates package information. We found that teams communicating in either speech or text tended to use a particular order for mentioning the speed, altitude, and radius. Different teams also chose different orders from one another. The teams in the evaluation experiment, however, showed unnaturally little variability in their information ordering and were also more likely to explicitly mention all restrictions even when they did not apply. Teams in the speech and text experiments were more likely to leave unnecessary restrictions unmentioned, and were also more likely to convey the restrictions across multiple communications. The option to converge on different packaging routines may have contributed to improved performance in the text experiment compared some of the conditions in the evaluation experiment. (shrink)

Visual working memory is a construct hypothesized to store a small amount of accurate perceptual information that can be brought to bear on a task. Much research concerns the construct's capacity and the precision of the information stored. Two prominent theories of VWM representation have emerged: slot-based and continuous-resource mechanisms. Prior modeling work suggests that a continuous resource that varies over trials with variable capacity and a potential to make localization errors best accounts for the empirical data. Questions remain regarding (...) the variability in VWM capacity and precision. Using a novel eye-tracking paradigm, we demonstrate that VWM facilitates search and exhibits effects of fixation frequency and recency, particularly for prior targets. Whereas slot-based memory models cannot account for the human data, a novel continuous-resource model does capture the behavioral and eye tracking data, and identifies the relevant resource as item activation. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

We use the Newell Test as a basis for evaluating ACT-R as an effective architecture for cognitive engineering. Of the 12 functional criteria discussed by Anderson & Lebiere (A&L), we discuss the strengths and weaknesses of ACT-R on the six that we postulate are the most relevant to cognitive engineering.

Contents: 1) Peter Kung, Why We Need Something Like Imagery; 2) Derek Lam, An Imaginative Person’s Guide to Objective Modality; 3) Rebecca Hanrahan, Crossing Rivers: Imagination and Real Possibilities; 4) Michael Omoge, Imagination, Metaphysical Modality, and Modal Psychology; 5) Joshua Myers, Reasoning with Imagination; 6) Franz Berto, Equivalence in Imagination; 7) Christopher Badura, How Imagination Can Justify; 8) Antonella Mallozzi, Imagination, Inference, and Apriority; 9) Margherita Arcangeli, Narratives and Thought Experiments: Restoring the Role of Imagination; 10) Margot Strohminger, (...) Two Ways of Imagining Galileo’s Experiment; 11) Eric Peterson, Attention to Details: Imagination, Attention, and Epistemic Significance; 12) Amy Kind, Bridging the Divide: Imagining Across Experiential Perspectives; 13) Julia Langkau, On Imagining Being Someone Else; 14) Luke Roelofs, “Imagine If They Did That to You!”: The Complexity of Empathy; 15) Nick Wiltsher and Bence Nanay, Imagination, Selves, and Knowledge of Self: Pessoa’s Dreams in The Book of Disquiet . (shrink)

In an age where issues like climate change and the unintended consequences of technological innovation are high on the ethical and political agenda, questions about the nature and extent of our responsibilities to future generations have never been more important, yet simultaneously so difficult to answer. This book takes a unique approach to the problem by drawing on diverse traditions of thinking about care (including developmental psychology, phenomenology and feminist ethics) to explore the nature and meaning of our relationship with (...) the future. Demonstrating that many influential perspectives on intergenerational ethics, including positions advanced by John Rawls, Brian Barry, and Ulrich Beck are undermined by problems relating to uncertainty, it shows that an approach based on care ethics can confront the uncertain future successfully and give a viable account of the nature and scope of future-oriented responsibilities. (shrink)

Imagination plays a rich epistemic role in our cognitive lives. For example, if I want to learn whether my luggage will fit into the overhead compartment on a plane, I might imagine trying to fit it into the overhead compartment and form a justified belief on the basis of this imagining. But what explains the fact that imagination has the power to justify beliefs, and what is the structure of imaginative justification? In this paper, I answer these questions by arguing (...) that imaginings manifest an epistemic status: they are epistemically evaluable as justified or unjustified. This epistemic status grounds their ability to justify beliefs, and they accrue this status in virtue of being based on evidence. Thus, imaginings are best understood as justified justifiers. I argue for this view by way of showing how it offers a satisfying explanation of certain key features of imaginative justification that would otherwise be puzzling. I also argue that imaginings exhibit a number of markers of the basing relation, which further motivates the view that imaginings can be based on evidence. The arguments in this paper have theoretically fruitful implications not only for the epistemology of imagination, but for accounts of reasoning and epistemic normativity more generally. (shrink)

This chapter argues that epistemic uses of the imagination are a sui generis form of reasoning. The argument proceeds in two steps. First, there are imaginings which instantiate the epistemic structure of reasoning. Second, reasoning with imagination is not reducible to reasoning with doxastic states. Thus, the epistemic role of the imagination is that it is a distinctive way of reasoning out what follows from our prior evidence. This view has a number of important implications for the epistemology of the (...) imagination. For one thing, it clarifies the epistemic role of widely invoked “constraints” on the imagination. For another, it highlights important and underappreciated disanalogies between how perceptual experiences and imaginings justify beliefs. Ultimately, the view that we can reason with imagination offers an illuminating and theoretically fruitful framework through which to understand the epistemic structure of the imagination. (shrink)

This paper develops a theory of analog representation. We first argue that the mark of the analog is to be found in the nature of a representational system’s interpretation function, rather than in its vehicles or contents alone. We then develop the rulebound structure theory of analog representation, according to which analog systems are those that use interpretive rules to map syntactic structural features onto semantic structural features. The theory involves three degree-theoretic measures that capture three independent ways in which (...) a system can be more or less analog. We explain how our theory improves upon prior accounts of analog representation, provides plausible diagnoses for novel challenge cases, extends to hybrid systems that are partially analog and partially symbolic, and accounts for some of the advantages and disadvantages of representing analogically versus symbolically. (shrink)

The author attempted to present the development of legal theories through early & medieval philosophical history.

In his prose writings, Milton produces a reinvention of the concept of heresy, and subsequently a theological reinvention of the nature of English society. He envisions a Protestant society united by practices of individual piety and by the “heretical imperative” of autonomous choice. While Milton’s account seeks to eliminate the possibilities of religious violence and state persecution, it leads finally to the same impasse as the Lockean theory: the grounding of a right to toleration on subjective piety necessarily excludes those (...) groups who refuse to practice such piety. Nevertheless, Milton’s unique depiction of a society united by practices of heresy ultimately points toward modernity in a way that is even more remarkably prescient than Locke’s influential theory of toleration. (shrink)

This book is available either individually, or as part of the specially-priced Arguments of the Philosphers Collection.

Suppose we believe that God created the world. Then surely we want it to be the case that he intended, in some sense at least, to create THIS world. Moreover, most theists want to hold that God didn't just guess or hope that the world would take one course or another; rather, he KNEW precisely what was going to take place in the world he planned to create. In particular, of each person P, God knew that P was to exist. (...) Call this the "standard" conception. Most theists find the standard conception appealing. Unfortunately, the view seems to conflict with the equally appealing idea — call it "temporal actualism" — that there are no "future" individuals beyond those that already exist in the present moment. For, on this view, for any historical person P, prior to creation, there was no such person as P and hence nothing about P for God to know. Hence, in particular, God couldn't have known that P was to exist. This is of course not a new problem. But past solutions to it are highly problematic. In this paper, after canvassing previous approaches, I will propose a solution that seems to preserve both temporal actualism and a suitably robust form of the standard conception while avoiding the pitfalls of the past. (shrink)

ABSTRACT The primary aim of the paper is to apply the concept of retribution to nuclear defence policy. Nuclear defence policy, as I conceive it, is concerned with addressing the threat Soviet nuclear weapons pose for Western security. I argue that, contrary to popular opinion, MAD is not a retributive doctrine—that in fact it violates two constitutive principles of retribution: culpability and proportionality. After explicating these constitutive principles, I apply them to retaliatory strategy—showing that the culpability criterion restricts retaliation to (...) the agents of aggression while the proportionality criterion requires a just measure of retaliation. The result is a defence policy continuous with the just war tradition—one which rules out deterrence based on threats against the civilian population. I show why a retributive policy requires non‐nuclear forces and discuss the feasiblity of replacing all nuclear forces with conventional weapons. I anticipate and answer major objections to the denuclearization of U.S. and NATO forces. Finally, I conclude that an advocate of a retributive policy—specifically, a policy calling for a proportional or measured response against combatants only—must be willing, in the name of justice, to accept the risk of making war more thinkable by making it less horrible. (shrink)

Background Despite the growth of biomedical research in South Africa, there are few insights into the operation of Research Ethics Committees (RECs) in this setting. We investigated the composition, operations and training needs of health RECs in South Africa against the backdrop of national and international guidelines. Methods The 12 major health RECs in South Africa were surveyed using semi-structured questionnaires that investigated the composition and functions of each REC as well as the operational issues facing committees. Results Health RECs (...) in SA have an average of 16 members and REC members are predominantly male and white. Overall, there was a large discrepancy in findings between under-resourced RECs and well resourced RECs. The majority of members (56%) are scientists or clinicians who are typically affiliated to the same institution as the health REC. Community representatives account for only 8% of membership. Training needs for health REC members varied widely. Conclusion Most major health RECs in South Africa are well organized given the resource constraints that exist in relation to research ethics in developing countries. However, the gender, racial and occupational diversity of most of these RECs is suboptimal, and most RECs are not constituted in accordance with South African guidelines. Variability in the operations and training needs of RECs is a reflection of apartheid-entrenched influences in tertiary education in SA. While legislation now exists to enforce standardization of research ethics review systems, no provision has been made for resources or capacity development, especially to support historically-disadvantaged institutions. Perpetuation of this legacy of apartheid represents a violation of the principles of justice and equity. (shrink)

Aristotle attaches particular significance to the homonymy of many central concepts in philosophy and science: that is, to the diversity of ways of being common to a single general concept. His preoccupation with homonymy influences his approach to almost every subject that he considers, and it clearly structures the philosophical methodology that he employs both when criticizing others and when advancing his own positive theories. Where there is homonymy there is multiplicity: Aristotle aims to find the order within this multiplicity, (...) and believes that doing so is crucial to scientific inquiry and philosophical progress.Christopher Shields investigates and evaluates Aristotle's approach to questions about homonymy, characterizing the metaphysical and semantic commitments necessary to establish the homonymy of a given concept. Then, in a series of case-studies, Shields examines in detail some of Aristotle's principal applications of homonymy--to the body, sameness and oneness, life, goodness, and being. Shields's aim is not only to give a fuller understanding of Aristotle's methodology and to illuminate his specific doctrines in a variety of areas, but to show that this methodology remains fruitful today. (shrink)

Christopher Hookway presents a series of studies of themes from the work of the great American philosopher and pragmatist, Charles S. Peirce (1839-1913). These themes center on the question of how we are to investigate the world rationally. Hookway shows how Peirce's ideas about this continue to play an important role in contemporary philosophy.

Moral error theories are often rejected by appeal to ‘companions in guilt’ arguments. The most popular form of companions in guilt argument takes epistemic reasons for belief as a ‘companion’ and proceeds by analogy. I show that this strategy fails. I claim that the companions in guilt theorist must understand epistemic reasons as evidential support relations if her argument is to be dialectically effective. I then present a dilemma. Either epistemic reasons are evidential support relations or they are not. If (...) they are not, then the companions in guilt argument fails. If they are, then a reduction of epistemic reasons to evidential support relations becomes available and, consequently, epistemic reasons cease to be a viable ‘companion’ for moral reasons. I recommend this structure of argument over existing strategies within the literature and defend my claims against recent objections from companions in guilt theorists. (shrink)