Situated Agents Research Articles

Risk-taking Factors in a Dynamic Approach

The most common definition of risk is quantified by the probability of an adverse event occurring and the value of the adverse consequence. Theoretically, the decision to take a risk can also be based essentially on these two pieces of information. In addition, according to traditional risk-taking models, the perception of risk, the psychological characteristics of the decision-makers and their relevant experience are also important. In the case of mathematical-statistical-psychological models, little emphasis is placed on the fact that risk is in fact the inability to completely control the activity in question. The causes of this incompleteness are based on the shortcomings in the relevant capabilities of the economic agent. Economic agents have different capabilities, so they rarely face the same risks, even for almost identical activities. Just as the requirements and circumstances of the activity are constantly changing, so are the capabilities of the economic agent. Consequently, the size of the capability gap of an economic agent is also constantly changing. This should be taken into account in risk-taking decisions and their revision. The paper attempts to model this dynamic risk-taking mechanism and to show how different risk-taking strategies may be pursued by economic agents in certain baseline situations.

Towards emotion-aware intelligent agents by utilizing knowledge graphs of experiences

Because of the increasing presence of intelligent agents in various aspects of human social life, social skills play a vital role in ensuring these systems exhibit acceptable and realistic behavior in social communication. The importance of emotional intelligence in social capabilities is noteworthy, so incorporating emotions into the behaviors of intelligent agents is essential. Therefore, some computational models of emotions have been presented to develop intelligent agents that exhibit emotional human-like behaviors. However, most current computational models of emotions neglect the dynamic learning of the affective meaning of events based on agents’ experiences. Such models evaluate the events in the environment according to emotional aspects without considering the context of the situations. Also, these models capture the emotional states of agents by using predefined rules determined according to psychological theories. Therefore, they disregard the data-driven methods that can obtain the relationships between appraisal variables and emotions based on natural human data with fewer assumptions on the nature of such relationships. To address these issues, we proposed a novel and unified affective-cognitive framework (EIAEC) to facilitate the development of emotion-aware intelligent agents. EIAEC uses appraisal theories to acquire the emotional states of the agent in various situations. This paper contains four main contributions: 1- We have designed an efficient episodic memory that uses events and their conditional contexts to store and retrieve knowledge and experiences. This memory facilitates emotional expressions and decision-making adapted to the situations of the agent. 2- A novel method has been proposed that learns context-dependent affective values associated with events by using the agent’s experiences in various contexts. Subsequently, we acquired appraisal variables using the elements and related meta-data in episodic memory. 3- We have proposed a new data-driven method that maps appraisal variables to emotional states. 4- Moreover, a method has been developed to update the activation values regarding actions by using the emotional states of the agent. This method models the influence of emotions on the agent’s decision-making. Finally, we simulate a driving scenarios in our proposed framework to manifest the generated emotions in different situations and conditions. Moreover, we show how the proposed method learns the affective meaning of events and actions used in appraisal computing.

HOW LOCAL PRACTICES OF SOCIOPOLITICAL INNOVATION DEVELOP: And Why This Matters for Urban Transformations

AbstractThis article addresses a critical gap in extant theorizing of urban transformations by focusing on the political and temporal dimensions of how innovations emerge, develop and become institutionalized into alternative systems of the everyday such as social centres, community gardens or urban commons. Going beyond current approaches, we offer a new understanding of innovations as sociopolitical practices: sets of resourced activities aiming to reshape urban spaces to achieve social and political ends locally. Developing an original theorization of such practices, we identify and differentiate between three sets of activities designed to meet local needs: assembling innovations—identifying and employing a wide variety of local resources within a neighbourhood; extending innovations—broadening the scope of initiatives and making them last; and, institutionalizing innovations, anchoring them in a more formalized structure. Sociopolitical innovations require sustained practices whereby situated agents pragmatically push for change over time. While the ongoing development of systems of the everyday may have limited immediate transformative impact, the reshaping of local resources prefigures an alternative which breaks from, yet is embedded in, everyday urban life. Our theorizing is underpinned by an international qualitative study of neighbourhoods in four European cities: Amsterdam, Birmingham, Copenhagen and Glasgow.

CHAT MARKETING'S IMPACT ON CUSTOMER SUPPORT SATISFACTION IN FINANCIAL STARTUPS

The subject of this paper is the influence of chat marketing on customer support satisfaction. The purpose of the study is to determine the relationship between the use of chat marketing and customer support satisfaction, as well as to identify the essential factors that contribute to this relationship. Furthermore, this paper aims to provide theoretical insights into the influence of chat marketing on customer support satisfaction in financial startups. Many companies struggle to achieve the most efficient chat session and are uncertain about the best strategies, factors and types of chat to implement. Therefore, these findings will help financial startups to theoretically understand the aspects of chat marketing and customer support satisfaction. The object of this article is the impact of chat marketing on customer satisfaction, and the purpose is to reveal theoretical knowledge that will help identify the factors that contribute to chat marketing and customer satisfaction in financial startups. This paper discusses the importance of customer support for financial startups and the different approaches to providing customer support through emotional means. In addition, this paper highlights the importance of customer satisfaction through trust and commitment to build a positive relationship with the customer. Furthermore, this paper demonstrated the framework behind chat marketing, which includes the use of different tools such as live chat platforms, chatbots and live agents or human representatives that help to achieve customer satisfaction through customer support. Moreover, using methods such as: observation, survey and regression analysis, this paper has demonstrated the importance of customer centricity in the financial sector to provide key essentials for employees as incentives that maintain customer satisfaction, while ensuring the flexibility of real-time communication with chatbots or live agents, with the need to have the ease of use and flexibility and various other factors to contribute to customer support satisfaction. As a result, the paper emphasises that in order to increase customer satisfaction with financial start-ups, it is crucial to maintain a low response rate by providing fast and reliable customer assistance. Developing and regularly updating chatbots to facilitate smooth transitions to live agents in complex situations is essential. Implementing an effective ticketing system to automate and monitor issue resolution is essential, with a focus on resolving issues during chat interactions whenever possible. Adopting a hybrid strategy that combines live agents and chatbots helps to meet diverse customer needs in a timely manner. Investing in comprehensive training for live agents is necessary to ensure professional and timely service. In addition, continuous monitoring and analysis of customer feedback plays a key role in improving overall business performance.

Active Inference With Empathy Mechanism for Socially Behaved Artificial Agents in Diverse Situations.

This article proposes a method for an artificial agent to behave in a social manner. Although defining proper social behavior is difficult because it differs from situation to situation, the agent following the proposed method adaptively behaves appropriately in each situation by empathizing with the surrounding others. The proposed method is achieved by incorporating empathy into active inference. We evaluated the proposed method regarding control of autonomous mobile robots in diverse situations. From the evaluation results, an agent controlled by the proposed method could behave more adaptively socially than an agent controlled by the standard active inference in the diverse situations. In the case of two agents, the agent controlled with the proposed method behaved in a social way that reduced the other agent's travel distance by 13.7% and increased the margin between the agents by 25.8%, even though it increased the agent's travel distance by 8.2%. Also, the agent controlled with the proposed method behaved more socially when it was surrounded by altruistic others but less socially when it was surrounded by selfish others.

Effects of correlation between bounded confidences and node degrees on consensus in opinion dynamics on complex networks

In bounded confidence opinion dynamics, agents only consider other agents when their opinions are sufficiently close. In many works, the confidence bound is assumed as a homogeneous one. However, agents in different situations may be with different confidence bounds in real life. In this work, the correlation of degrees and confidence bounds is introduced into modified Hegselmann–Krause model on complex networks and we mainly focus on whether the population can reach consensus, where all agents hold a same opinion. The number of opinion clusters, the relative size of the largest cluster and the probability of reaching consensus are the measures of the opinion cluster profile. The numerical simulation shows that the existence of the correlation promotes the probability of reaching consensus and even in the case where some agents are with very small confidence bounds. On scale-free and Erdös–Rényi random networks, the negative correlation supports the consensus much more than the positive correlation case. However, two correlations show the same effect on small-world networks, and this effect is also observed in scale-free and Erdös–Rényi random networks when the average degree becomes very large.

Clinical Pharmacology in Sarcoidosis: How to Use and Monitor Sarcoidosis Medications.

When sarcoidosis needs treatment, pharmacotherapy is usually required. Although glucocorticoids work reliably and relatively quickly for sarcoidosis, these drugs are associated with numerous significant side effects. Such side effects are common in sarcoidosis patients, as the disease frequently has a chronic course and glucocorticoid treatment courses are often prolonged. For these reasons, corticosteroid-sparing and corticosteroid-replacing therapies are often required for sarcoidosis. Unfortunately, many healthcare providers who care for sarcoidosis patients are not familiar with the use of these agents. In this manuscript, we provide a review of the pharmacotherapy of sarcoidosis. We discuss the mechanism of action, dosing, side-effect profile, approach to monitoring and patient counselling concerning glucocorticoids, and the common alternative drugs recommended for use in the recent European Respiratory Society (Lausanne, Switzerland) Sarcoidosis Treatment Guidelines. We also discuss the use of these agents in special situations including hepatic insufficiency, renal insufficiency, pregnancy, breastfeeding, vaccination, and drug-drug interactions. It is hoped that this manuscript will provide valuable practical guidance to clinicians who care for sarcoidosis patients.

Thermo-inspired model of self-propelled hard disk agents for heterogeneous bidirectional pedestrian flow

The aim of this work is to present a hybrid pedestrian model that describes the bidirectional walking of crowds in a corridor. The self-propelled hard disk model combines both perceptual as well as decision-making characteristics of situated agents. This model considers homogeneous and heterogeneous groups with relaxed, standard, and hurried pedestrian profiles according to their walking preferences. The situated agent perception module considers one radius in the base model, while the extended model considers three radii to improve the pedestrian evasion rules. We have explored the corresponding changes in the formation of spatial walking patterns. The findings include comparative variations in the formation of following lanes, the time-based evolution of crowds in both homogeneous and heterogeneous groups, and the transition from transient traffic jams to the appearance of segregation waves emerging from self-organization mechanisms. In this point, we propose a thermodynamics-inspired model associated with the collective behavior of pedestrians. A macroscopic ideal gas-type equation of state is established to define the dependence between volume, pressure, and temperature of pedestrian crowds in counterflow. To achieve this goal, the temperature, defined as T∼vα¯ where v is the walking speed of individual pedestrians, must possess an α parameter in the interval [1,2]. The experimental simulations include binary contact interactions and collisions of pedestrians with the corridor borders. The macroscopic description of the model inspired by thermodynamics can be complemented with the usual analysis of the fundamental diagram.

Hand contamination and hand hygiene knowledge and practices among commercial transport users after the SARS-CoV-2 virus (COVID-19) scare, Enugu State, Nigeria.

Contaminated hands are one of the most common modes of microorganism transmission that are responsible for many associated infections in healthcare, food industries, and public places such as transportation parks. Public health approaches during COVID-19 pandemic have shown that hand hygiene practices and associated knowledge are critical measure to control the spread of infectious agent. Hence, assessment of commercial transport users' knowledge, belief and practices on hand hygiene, and potential contamination with infectious agents which is the aim of the study, aligns with general health concern of quantifying contamination risk levels to predict disease outbreaks. This study utilized a randomized sampling approach to select 10 frequently used commercial parks within two districts in the State: Enugu and Nsukka. The parameters analysed include a cross-sectional questionnaire survey, hand swab and hand washed samples collected from dominant hand of participants. A total of 600 participants responded to the questionnaire survey, while 100 participants' hand swabs were examined for microbial contamination. This study recorded a high prevalence of fungal (90.0%) and bacterial (87.0%) species; 20 species of fungus were identified with prevalence range of 1% to 14%; 21 bacterial species were isolated with prevalence range of 1% to 16%. These species were identified as either opportunistic, non-invasive, or pathogenic, which may constitute a health concern amongst immunocompromised individuals within the population. Aspergillus spp. (14%), was the most common fungal species that was exclusively found amongst Nsukka commercial users, while E. coli was the most prevalent isolated bacterial species amongst Nsukka (12%) and Enugu (20%) commercial park users. Prevalence of fungal contamination in Nsukka (94.0%; 47/50) and Enugu (86.0%; 43/50) were both high. Prevalence of bacterial contamination was higher in Enugu than Nsukka but not significantly (47[94.0%] vs. 40[80.0%], p = 0.583). A greater number of participants (99.3%) were aware of the importance of hand hygiene, however with low compliance rate aside "after using the toilet" (80%) and "before eating" (90%), other relevant hand washing and sanitizing practices were considered less important. With these observations, we can emphatically say that despite the COVID-19 scare, commercial park users within the sampled population do not efficiently practice quality hand wash and hygiene measures, hence, risking the widespread of infectious agents in situation of disease outbreak or among immunocompromised individuals.

SGLT2i as a First-line Antihyperglycemic in the Management of Type 2 Diabetes in the Context of Indians: A Systematic Review and Consensus.

Sodium-glucose cotransporter-2 inhibitors (SGLT2i) have been used for almost a decade and have proven to be effective not only in managing Type 2 diabetes (T2D), but their cardio and renal protective features make them very useful in managing patients with risk of multiple comorbidities. This systematic review was undertaken by the authors because there is no evidence currently available in India that has studied the suitability of SGLT2i as a first-line agent in patients newly diagnosed with T2D in India. First, literature was searched to identify features that are considered important when deciding on a first-line agent for managing T2D. A total of 5 broad topics were identified-glycemic control, extra glycemic effects, antihyperglycemic combination therapy, safety, and cost-effectiveness. These domains had further subheadings, and a total of 16 domains were identified. Metformin is the drug of choice as a first-line agent in such situations and has been considered the gold standard for evaluating the effects of SGLT2i across these domains. A systematic literature review on each domain was conducted to compare SGLT2i with the gold standard in Indian patients newly diagnosed with T2D. Evidence was graded (levels of evidence (LoE)-A, B, and C), and recommendations (class of recommendation (CoR)-I, II, and III) were classified by the expert group as defined in the methodology. According to the systematic reviews conducted, 11 domains had Level A evidence, 2 domains (impact on lipids and gut microbiome) had Level B, and 3 domains had Level C (β-cell function, renal protection, and glycemic variability) evidence. Based on evidence and expert opinion, the authors recommend SGLT2i as a first-line agent for managing newly diagnosed patients with T2D with a Class I recommendation for 13 domains and Class II for the remaining 3 (impact on lipids, gut microbiome, and β-cell function). Although a poorer level of evidence (Level C) was available for the glycemic variability domain, the authors still reported this as Class I recommendations according to their expert opinion and consensus. This article advocates adopting SGLT2 inhibitors as the primary treatment choice for treating patients with newly diagnosed T2D in India.

Management and Outcomes of Invasive Procedures in Individuals with Hemophilia A on Emicizumab Prophylaxis: A Single Center Experience.

Prophylactic treatment with emicizumab has become an important and effective bleeding prevention for people with hemophilia A (PwHA). Perioperative management of PwHA using emicizumab prophylaxis is still challenging due to a lack of experience. Medical records of perioperative management and outcomes were reviewed, and data were collected for adult PwHA receiving emicizumab and undergoing surgical procedures between August 2019 and July 2022 at the University Medical Center Ljubljana. Twelve surgical procedures were performed in eight PwHA (one with FVIII inhibitors) while on emicizumab prophylaxis. Three minor procedures included cataract surgery, cystoscopic lithotripsy, and percutaneous coronary intervention. Nine major surgeries included four osteosyntheses, necrectomy of chronic osteomyelitis with new ankle arthrodesis, two below-knee amputations, total knee replacement, and placement of ventriculostomy after a spontaneous intraventricular hemorrhage. No major bleeds, thrombotic events or deaths, or new inhibitors appeared. Our real-world experience demonstrates that minor and major surgeries can be performed safely in PwHA on emicizumab prophylaxis. Additional data are needed to optimize dosing/duration of additional hemostatic agents in diverse invasive procedures and complex clinical situations.

A Hybrid Online Off-Policy Reinforcement Learning Agent Framework Supported by Transformers.

Reinforcement learning (RL) is a powerful technique that allows agents to learn optimal decision-making policies through interactions with an environment. However, traditional RL algorithms suffer from several limitations such as the need for large amounts of data and long-term credit assignment, i.e. the problem of determining which actions actually produce a certain reward. Recently, Transformers have shown their capacity to address these constraints in this area of learning in an offline setting. This paper proposes a framework that uses Transformers to enhance the training of online off-policy RL agents and address the challenges described above through self-attention. The proposal introduces a hybrid agent with a mixed policy that combines an online off-policy agent with an offline Transformer agent using the Decision Transformer architecture. By sequentially exchanging the experience replay buffer between the agents, the agent's learning training efficiency is improved in the first iterations and so is the training of Transformer-based RL agents in situations with limited data availability or unknown environments.

B - 12 fMRI Investigation of Socio-Moral Agency in Children and Adolescents.

This study investigated the neural substrate of agency in social judgments of children and adolescents. The main hypothesis was that a network of proposed "social brain" structures (the medial prefrontal cortex (mPFC), medial precuneus (mPc), temporal pole (TP), and temporoparietal junction (TPJ) would be recruited when comparing self vs. other agents in socio-moral situations. We suspected that such judgments would incur self/other referential and social cognitive processing and lead to overlapping but also distinctive neural activations in the social brain network. The developmental sample was 9-17-year-old participants (11 male, 8 female) with no medical, neurological or psychiatric history, learning disability, or medication usage. Neuropsychological functions, academic achievement, and social-emotional development were normal. Participants read brief scripts in a high field magnet and provided judgments of whether the social actions were right or wrong. Scripts were balanced for right vs. wrong behaviors, comparing the participant's own actions vs the actions of others as well as a non-social baseline condition. Data were analyzed in Matlab. Results revealed recruitment of mPFC, mPc, TP, and TPJ throughout development, linking agency to other mentalizing processes. There was overlapping recruitment of mPFC, mPc and left TPJ across the 2 conditions. Right TPJ activated only during the self-agency condition; left TP activated only during the other-agency condition. Findings support a specific network of mPFC, mPc, TP and TPJ regions associated with mediation of social agency, similar to adults, which is likely an important neural substrate for maturation of self-regulation and social cognition.

Differences in configural processing for human versus android dynamic facial expressions

Humanlike androids can function as social agents in social situations and in experimental research. While some androids can imitate facial emotion expressions, it is unclear whether their expressions tap the same processing mechanisms utilized in human expression processing, for example configural processing. In this study, the effects of global inversion and asynchrony between facial features as configuration manipulations were compared in android and human dynamic emotion expressions. Seventy-five participants rated (1) angry and happy emotion recognition and (2) arousal and valence ratings of upright or inverted, synchronous or asynchronous, android or human agent dynamic emotion expressions. Asynchrony in dynamic expressions significantly decreased all ratings (except valence in angry expressions) in all human expressions, but did not affect android expressions. Inversion did not affect any measures regardless of agent type. These results suggest that dynamic facial expressions are processed in a synchrony-based configural manner for humans, but not for androids.

Detrimental effects of anthropomorphism on the perceived physical safety of artificial agents in dangerous situations

Designers of artificial agents often give them humanlike features, reflecting assumptions that humanlike agents evoke more positive evaluations than machinelike agents do. However, through four studies, the current article reveals a detrimental effect of anthropomorphizing embodied artificial agents. This effect occurs because these agents appear physically less safe in dangerous situations, which leads to consumers’ diminished self-safety perceptions and less favorable downstream consequences, both attitudinal (e.g., quality and trust perceptions, consumer evaluations, willingness to pay) and behavioral (e.g., information search, donation behavior). However, this detrimental effect is mitigated in non-dangerous situations or for artificial agents that usually do not operate in dangerous situations. The findings also reveal some theoretically important and practically relevant moderators. Specifically, when consumers receive marketing messages that direct their attention to artificial agents’ humanlike minds (e.g., cognitive and socio-emotional capabilities) rather than their humanlike bodies, the negative effect of anthropomorphizing artificial agents disappears. In addition to advancing emerging research on embodied artificial agents, this study provides practical guidance for marketers who plan to integrate artificial agents with humanlike features into their operations.

Privatizing water in the Atacama Desert and the resurgence of Atacameño indigeneity

Until the mid-1980s, the Atacameño indigenous people were broadly caricatured as Chilean peasants or herders. In the 1980s, they began a process of resurgence as indigenous in order to attain legal recognition. Structural approaches to indigeneity have explored this phenomenon by seeing Atacameños as passive subjects whose identity has been imposed, fixed, or mediated by the law and by external actors (e.g. bureaucrats, intellectuals, and nongovernmental organizations (NGOs)). Problematizing these viewpoints, I argue here that Atacameños, rather than adopting indigeneity based on predetermined structural factors or instrumental motivations, are active agents in their resurgence and the articulation of their identity against cultural assimilation and extractive industries. Based largely on oral evidence collected from indigenous leaders and other key actors, I show that the dispossession and threats that the neoliberal Chilean Water Code brought to the Atacameños served as critical historical sediment for the resurgence and articulation of their indigeneity. The results problematize the hegemonic perspective that presents authenticity as a requisite for indigeneity and indigenous people as colonial power victims. Instead, Atacameños are situated agents who revived their identity within a broader process in order to challenge dominant structures concerning access to resources, principally water.

Hyperosmolar therapy for regulation of cerebral edema and intracranial pressure

Background: Hyperosmolar therapy is an essential treatment method for increased intracranial pressure and cerebral edema. Mannitol and hypertonic saline are frequently used in clinical practice; however, more helpful recommendations are needed for the optimal management of cerebral edema in terms of the choice, dosage, and timing of these medications. This study aimed to introduce the characteristics and relative strengths of two agents, i.e., mannitol and hypertonic saline, and review clinical data supporting their use in various diseases.Current Concepts: Hyperosmolar therapy reduces intracranial pressure by removing water from the brain tissue and transferring it to the vascular space by creating an osmotic gradient. Mannitol improves cerebral blood flow by reducing the hematocrit, decreasing blood viscosity, and increasing deformability of red blood cells. Hypertonic saline increases intravascular volume, transiently increases cardiac output, and improves tissue oxygen partial pressure in the brain. Hypertonic saline has several advantages over mannitol, including quicker onset and longer-lasting reduction in intracranial pressure. However, no significant differences are noted in clinical, functional outcomes, or mortality between the two treatment agents.Discussion and Conclusion: Both mannitol and hypertonic saline are effective in reducing increased intracranial pressure. Clinicians should be able to select an appropriate agent in different clinical situations based on available evidence and patients’ individual medical conditions.

The dawn of repurposing vitamins as potential novel antimicrobial agents: A call for global emergency response amidst AMR crisis.

Amidst, the global pandemic of antimicrobial resistance (AMR), the rate at which AMR increases overwhelms the increased efforts to discover new effective antimicrobials. There is a persistent need for alternative treatment modalities so as to keep up with the pace. AMR is the leading cause of death in the world and its health and economic consequences suggest the urgent need for sustainable interventions. Vitamins have consistently proven to have antimicrobial activity as well as slowing down the AMR rate by influencing the AMR genes even towards extensive multidrug resistant strains. Evidences suggest that the use of some vitamins on their own or in combination with existing antimicrobial agents could be a breakthrough towards combating AMR. This will widen the antimicrobial agents' options in the treatment arena, preserve the antimicrobial agents susceptible to develop resistant so that they can be used in severe infections only, reduce the tension and burden of the AMR crisis significantly and give enough room for development of new antimicrobial agents. Moreover, almost all viral, fungal, parasitic and bacterial resistant strains of concern as listed by World Health Organization have been found to be sensitive to several vitamins either synergistically with other antimicrobials or independently. Considering their widened spectrum of immunomodulatory and antimicrobial effect, some vitamins can further be repositioned as prophylactic antimicrobial agents in clinical situations like in presurgeries prophylaxis so as to avoid unnecessary use of antimicrobials especially antibiotics. Various relevant AMR stakeholders should invest in clinical trials and systematic reviews with available data to enable quick repositioning of some potential vitamins as antimicrobial agents as an emergency rapid response towards AMR Crisis. This includes the preparation of guidelines containing specificity of which vitamin to be used for treatment of which type of infection.

Acting in solidarity with the poor? Some conceptual and practical challenges

ABSTRACT Monique Deveaux’s Poverty, Solidarity, and Poor-Led Social Movements makes a timely, compelling, and important intervention in the philosophical literature on poverty and global justice, and improves our understanding of the nature and extent of responsibilities of variously situated agents towards the poor. Deveaux’s focus on poor-led social movements emphasizes that effective poverty reduction requires building up the collective capacities of the poor to engage in joint collective action to oppose and dismantle unjust structures. This approach politicizes poverty and provides a powerful refutation of some previous approaches that primarily formulated responses to global poverty to consist in mere charity to lighten the poor’s deprivations, or top-down solutions imposed by technocrats and other development experts. Deveaux then extends the concept of solidarity to characterize the political responsibility of the nonpoor, which consists of acting in political solidarity with poor-led organizations and movements. It is this latter move to extend the concept of solidarity to characterize poor-nonpoor cooperative activities that I question in this commentary. When the concept of solidarity, understood as identification-based joint action, is stretched to encompass cooperation between all those who may act together to resist, oppose, and dismantle the structures of domination and oppression that constitute poverty, there is the danger of obscuring the alienation and oppositional social positions that attend conditions of structural injustice. To acknowledge the limits and dilemmas of solidarity practices between the poor and nonpoor is perhaps a sober reminder of one of the major costs of living in conditions of structural injustice.

The Affordances of the Translator

This article explores affordance-theoretical readings of Walter Benjamin’s “Task of the Translator,” looking first at Aleksei Procyshyn’s mobilization of Anthony Chemero’s “radical embodied cognitive science” approach to affordances, in which, as Procyshyn summarizes it, “language use is an enactive process of meaning creation, which affords an appropriately situated and capable agent specific potentials for further action.” A closer look shows not only that Procyshyn has not drawn on the full potential of Chemero’s theorization, but that Chemero himself has not developed a 4EA-cogsci affordance theory fully—and that the application of affordance theory to Benjamin ultimately doesn’t work without a complex reframing of both Benjamin and affordance theory. Specifically, toward the end of Benjamin’s essay he moves toward a more personalized understanding of human translators as situated agents—notably Friedrich Hölderlin, but also Martin Luther, Johann Heinrich Voß, A. W. Schlegel, and Stefan George—and another pass through Wilhelm Dilthey’s hermeneutical theory of the Zusammenhang des Lebens (“nexus/intertwining of life”), which Benjamin invokes by name, helps flesh out both an affordance theory of translation and an extended application to Hölderlin’s Sophocles translations. The historical chain from Dilthey through Husserl and Merleau-Ponty to Varela, Thompson, and Rosch’s The Embodied Mind ties hermeneutics, phenomenology, and 4EA cognitive science together under the rubric of the affordances of the translator.