Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis

This paper explores the integration of two AI subdisciplines employed in the development of artificial agents that exhibit intelligent behavior: Large Language Models (LLMs) and Cognitive Architectures (CAs). We present three integration approaches, each grounded in theoretical models and supported by preliminary empirical evidence. The modular approach, which introduces four models with varying degrees of integration, makes use of chain-of-thought prompting, and draws inspiration from augmented LLMs, the Common Model of Cognition, and the simulation theory of cognition. The agency approach, motivated by the Society of Mind theory and the LIDA cognitive architecture, proposes the formation of agent collections that interact at micro and macro cognitive levels, driven by either LLMs or symbolic components. The neuro-symbolic approach, which takes inspiration from the CLARION cognitive architecture, proposes a model where bottom-up learning extracts symbolic representations from an LLM layer and top-down guidance utilizes symbolic representations to direct prompt engineering in the LLM layer. These approaches aim to harness the strengths of both LLMs and CAs, while mitigating their weaknesses, thereby advancing the development of more robust AI systems. We discuss the tradeoffs and challenges associated with each approach.Comment: AAAI 2023 Fall Symposiu

Citizen motivation on the go: The role of psychological empowerment

Although advances in technology now enable people to communicate 'anytime, anyplace', it is not clear how citizens can be motivated to actually do so. This paper evaluates the impact of three principles of psychological empowerment, namely perceived self-efficacy, sense of community and causal importance, on public transport passengers' motivation to report issues and complaints while on the move. A week-long study with 65 participants revealed that self-efficacy and causal importance increased participation in short bursts and increased perceptions of service quality over longer periods. Finally, we discuss the implications of these findings for citizen participation projects and reflect on design opportunities for mobile technologies that motivate citizen participation

Motivating Contribution in a Participatory Sensing System via Quid-Pro-Quo

Participatory sensing systems (PSS) require frequent injection of information that has a short shelf-life. The use of crowds to gather information for PSS is therefore particularly challenging. In this study, we explore the impact of two policies on user contributions. A quid-proquo policy exchanges contributions from users for access to critical information in the system. A request policy simply reminds the user that information is needed to make the system function well. Prior research has shown that request for help in crowdsourced system is an effective mechanism to increase contributions. During a large-scale experimental study within a publicly deployed, crowdsourced, transit information system, we analyzed metrics associated with frequency of contribution and commitment to long-term use over a 10month period. Our results confirmed that quid-pro-quo led to more contribution, but at a cost of faster departure from the study. When a participant was simply requested to contribute, but could still access community-generated data if they ignored a request, was largely ineffective and was statistically similar to the control condition where no request for contribution occurred. Thus crowdsource system designers should consider imposing quid-pro-quo type policies for PSS that concentrate on fewer users, but makes them more productive. Author Keywords Crowdsourced transit information systems; quid-pro-quo

Understanding the Space for Co-design in Riders’ Interactions with a Transit Service

ABSTRACT The recent advances in web 2.0 technologies and the rapid adoption of smart phones raises many opportunities for public services to improve their services by engaging their users (who are also owners of the service) in co-design: a dialog where users help design the services they use. To investigate this opportunity, we began a service design project investigating how to create repeated information exchanges between riders and a transit agency in order to create a virtual "place" from which the dialog on services could take place. Through interviews with riders, a workshop with a transit agency, and speed dating of design concepts, we have developed a design direction. Specifically, we propose a service that combines vehicle location and "fullness" ratings provided by riders with dynamic route change information from the transit agency as a foundation for a dialog around riders conveying input for continuous service improvement

A Comparison of Freshwater Mussels (Unionidae) from a Late-Archaic Archeological Excavation with Recently Sampled Verdigris River, Kansas, Populations

Excavations at an archeological site adjacent to the Verdigris River in southeast Kansas unearthed a prehistoric mussel shell midden associated with a probable mussel cooking site. Multiple lines of evidence indicate that the midden was created by Native Americans during the Late Archaic Period and used into the Early Woodland Period (4000 – 1000 B.P.). Over 900 relic mussel valves were identified from the mussel midden. Mussel community characteristics from this archeological site were compared with a recent sampling effort of live mussels from a nearby reach of the Verdigris River. This comparative study demonstrates that the current community composition of mussels differs from that of the prehistoric mussel midden. Four species now considered to be extirpated were found in the mussel midden and several common species differed widely in relative abundance. Measurable midden valves were significantly smaller than recent samples. Seasonal growth-rest lines of well-preserved midden shells suggest that this prehistoric harvest of mussels probably occurred in late summer