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)

While research has consistently found that general distress and psychopathology are not predictive of sexual recidivism, examination of specific syndromes and their relationship to offending has revealed a potentially more complicated relationship. One proposed mechanism for the mixed findings with respect to major mental illness and sexual offending may be the confound of neurological injury. As identified in Mann et al. work on psychologically meaningful risk factors, mental illness represents an area in need of more study given the indirect influence (...) it may exert on risk. To this end, the current paper summarizes the study of the relationship between neurological injury, psychosis and problematic sexual behavior among two Canadian samples of forensic and civil psychiatric patients. In the first study we observed higher than expected rates of sexually-themed psychotic symptoms and problematic sexual behavior among a combined group of forensic and civil psychiatric patients. Indeed 70 percent of those individuals who engaged in PSB endorsed sexually-themed psychotic symptoms. While comorbidity is common amongst this group, brain injury appeared to represent a specific liability. Compared to those who did not engage in PSB, those who did were almost 4x more likely to have a documented history of brain injury. In the second study we sought to replicate this finding in a larger forensic sample of 1,240. However, the recorded rates of brain injury were significantly less, such that no relationship to PSB was observed. Based on the mixed findings to date, including our own data, questions remain about the nature of a potential shared vulnerability for psychosis and PSB previously postulated. Among psychiatrically complex individuals who engage in PSB, understanding etiology and links to risk are helpful, but perhaps more importantly is attention to the mechanisms through which symptoms confer risk and how best to treat and manage them. (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)

Teams are a fundamental aspect of life—from sports to business, to defense, to science, to education. While the cognitive sciences tend to focus on information processing within individuals, others have argued that teams are also capable of demonstrating cognitive capacities similar to humans, such as skill acquisition and forgetting (cf., Cooke, Gorman, Myers, & Duran, 2013; Fiore et al., 2010). As artificially intelligent and autonomous systems improve in their ability to learn, reason, interact, and coordinate with human teammates combined with (...) the observation that teams can express cognitive capacities typically seen in individuals, a cognitive science of teams is emerging. Consequently, new questions are being asked about teams regarding teamness, trust, the introduction and effects of autonomous systems on teams, and how best to measure team behavior and phenomena. In this topic, four facets of human-autonomy team cognition are introduced with leaders in the field providing in-depth articles associated with one or more of the facets: (1) defining teams; (2) how trust is established, maintained, and repaired when broken; (3) autonomous systems operating as teammates; and (4) metrics for evaluating team cognition across communication, coordination, and performance. (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)

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)

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 notion that there is a category mistake or some other conceptual confusion in regarding seeing, hearing, and other forms of perception as events, states, or processes is incorrect. Ryle's analysis of "seeing" as an achievement word does not rule out our regarding seeing as an event, but in fact suggests that we do so when we carry the analysis beyond the point where Ryle leaves it. Furthermore there are uses of "see" not noticed by Ryle which justify our saying (...) that within certain contexts seeing is a state and within other contexts a process. The question of what these events, states, and processes are cannot be met without recognizing a fundamental duality of aspect that characterizes perception. This duality can be formulated in terms of the way perception is known. One who observes a perceiver knows the perceiver's perception in a categorically different way than the perceiver knows it. From this it can be seen that perceptual events, states, and processes have both a physical aspect and an epistemological aspect. Any attempt to reduce one of these aspects to the other would involve a category mistake. (shrink)

The nature of conceptual analysis is elucidated by a proposed solution to moore's paradox of analysis. Occurrent, Dispositional, And property concepts are distinguished, And the notion of epistemic gain is introduced and explained. It is shown that although a correct analysis equates property concepts this is done with epistemic gain. It is argued that in a correct analysis there must be no identity between analysans and analysandum in respect to occurrent concepts. The relevance of thought experiments to conceptual analysis is (...) discussed and it is concluded that conceptual analysis consists of a transformation of knowledge how into knowledge that. (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)

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)

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.

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)

Hume after arguing for the compatibility of liberty and necessity, a view now known as soft determinism or compatibilism , noted that it is not ‘possible to explain distinctly, how the Deity can be the mediate cause of the actions of sin and moral turpitude’. It seems that Hume is correct if the explanation must show specifically why an omnipotent and omnibenevolent deity must permit certain actions that to human reason seem to be unnecessary evils. On the other hand if (...) such specifity is not required, the soft determinist who also happens to be a theist can argue that it is possible that the actual world is the best of all possible worlds even though the reason for any specific apparent evil cannot be known. If seemingly evil choices are free in the soft determinist's sense but determined by an omnipotent and omniscient deity, then either that deity is not omnibenevolent or that deity has determined the world to have the maximum possible goodness through including seemingly evil choices in the scheme of things. Consequently if, as the traditional theist believes, the creator is omnibenevolent as well as omnipotent and omniscient, the occurrence of seemingly evil choices are necessary for maximizing the goodness of the whole. (shrink)