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Cognitive Architectures


Dialpad Announces Appointment of Jen Grant to Board of Directors

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Dialpad, the only cloud-native business communications platform powered by Voice Intelligence (Vi), recently announced that Jen Grant has joined the company's Board of Directors. The announcement comes as Dialpad continues to see rapid growth as the demand for remote work tools rises with changing business needs worldwide. "We are seeing remote work on the rise everywhere, and we don't expect to see that diminish even after offices start to open up," said Jen Grant, Chief Executive Officer of Turbo Systems. "Now, more than ever, people need the right work-from-anywhere tools, and I'm excited to be a part of the movement with Dialpad." Built in the cloud, Dialpad does not require on-premise servers, storage or hardwired phones, freeing customers to connect and communicate from anywhere.


Is Cognitive Science the Future of AI?

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Cognitive computing has expansive horizons, which covers various characteristics of cognition. In addition, cognitive science is an interdisciplinary, scientific study of the human reasoning, emotions, language, perception, attention, and memory. However, artificial intelligence (AI) is to explore the design of computers and software that would fit for intelligent behavior. The reconciliation of cognitive science and AI offers a profound comprehension of human cognition (human intelligence) and communication. What's more, the imaginative and technical abilities are applying the knowledge in AI solutions and applications in engineering psychology.


16 things to help battle your social distancing boredom, all on sale

Mashable

Whether you're working from home and need some retail therapy to unwind or you're simply looking for something to do, we've got you covered. These top-selling deals are massively discounted -- up to 98% off -- for no good reason other than to make your social distancing life a little better. From app subscriptions to online courses to smartphone accessories, there's something for every type of pandemic personality that'll surely appease your boredom. This personalized learning tool adjusts to your skill level and schedule to help you efficiently learn words and phrases in English, French, Spanish, German, Italian, Russian, and/or Portuguese. MosaLingua has put years of cognitive science research into their methods – space repetition, metacognition, and the Pareto principle – to help you grasp a new language in a way that works for you.


Robots as Powerful Allies for the Study of Embodied Cognition from the Bottom Up

arXiv.org Artificial Intelligence

A large body of compelling evidence has been accumulated demonstrating that embodiment - the agent's physical setup, including its shape, materials, sensors and actuators - is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool of investigation. We present a robotic bottom-up or developmental approach, focusing on three stages: (a) low-level behaviors like walking and reflexes, (b) learning regularities in sensorimotor spaces, and (c) human-like cognition. We also show that robotic based research is not only a productive path to deepening our understanding of cognition, but that robots can strongly benefit from human-like cognition in order to become more autonomous, robust, resilient, and safe.


The knowledge level in cognitive architectures: Current limitations and possible developments

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In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build artificial agents able to exhibit intelligent behaviors in general scenarios, but also an epistemological one, since they limit the plausibility of the comparison of the CAs’ knowledge representation and processing mechanisms with those executed by humans in their everyday activities. In the final part of the paper further directions of research will be explored, trying to address current limitations and future challenges.


The knowledge level in cognitive architectures: Current limitations and possible developments

#artificialintelligence

In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build artificial agents able to exhibit intelligent behaviors in general scenarios, but also an epistemological one, since they limit the plausibility of the comparison of the CAs’ knowledge representation and processing mechanisms with those executed by humans in their everyday activities. In the final part of the paper further directions of research will be explored, trying to address current limitations and future challenges.


SPLICE Software Included in "10 Most Trustable Insurance Tech Solution Providers to Watch in 2020" by the Technology Headlines

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SPLICE Software, which specializes in using big and small data and voice technologies to drive customer engagement, announced that the company was named one of the 10 Most Trustable Insurance Tech Solution Providers to Watch in 2020 by The Technology Headlines, a knowledge platform for enterprise IT community leaders. The publication's January issue includes a feature story on SPLICE and Tara Kelly, the company's founder, president and CEO. In its overview of the company, the article highlights Kelly's inspiration for creating SPLICE: a faulty AI-driven customer interface at a bank that left her thinking there had to be a better way to use customer data in automated interactions. Nearly a decade and a half later, SPLICE is providing that "better way" for clients in the insurance, financial services and retail sectors, giving forward-thinking organizations the ability to deliver personalized, data-driven messages seamlessly across multiple platforms. "Trust is incredibly important in any industry, but especially in the insurance sector, so it's an honor to be included on the 10 Most Trustable list," said Kelly.


#298: Cognitive Robotics Under Uncertainty, with Marlyse Reeves

Robohub

Marlyse is a third-year PhD student in the Computer Science and Artificial Intelligence Laboratory at MIT. She received her B.S. in Aeronautics and Astronautics from MIT in 2017. Her current research in the Model-based Embedded and Robotic Systems Group focuses on multi-vehicle online planning, incorporating complex dynamics and constraints. She is also interested in risk-aware planning, fault protection and diagnosis, and adaptive sampling. Outside of the lab, she enjoys playing soccer, dancing, and reading science fiction.


Cognitive Systems Institute Group Speaker Series Thursdays 10:30am US Eastern Time

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Join the meetings by pointing your web browser to: https://zoom.us/j/7371462221 Join the CSIG LinkedIn Group to get reminders about talks and discuss them. Replays before Dec 2015: Dial 877.471.6587 or 402.970.2667 and enter the call's Replay ID when prompted for a program ID number. The Replay ID is listed in the Recording column of each date. "Solving Large-Scale Machine Learning Problems in a Distributed Way"


Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change

arXiv.org Artificial Intelligence

Our research aims to develop intelligent collaborative agents that are human-aware - they can model, learn, and reason about their human partner's physiological, cognitive, and affective states. In this paper, we study how adaptive coaching interactions can be designed to help people develop sustainable healthy behaviors. We leverage the common model of cognition - CMC [26] - as a framework for unifying several behavior change theories that are known to be useful in human-human coaching. We motivate a set of interactive system desiderata based on the CMC-based view of behavior change. Then, we propose PARCoach - an interactive system that addresses the desiderata. PARCoach helps a trainee pick a relevant health goal, set an implementation intention, and track their behavior. During this process, the trainee identifies a specific goal-directed behavior as well as the situational context in which they will perform it. PARCcoach uses this information to send notifications to the trainee, reminding them of their chosen behavior and the context. We report the results from a 4-week deployment with 60 participants. Our results support the CMC-based view of behavior change and demonstrate that the desiderata for proposed interactive system design is useful in producing behavior change.