Category Archives: artificial intelligence

Cognitive aspects of interactive technology use: From computers to smart objects and autonomous agents

That is the title of a recent Frontiers ebook located here. This would make an excellent discussion topic as it’s pretty much the sort of things we’ve been investigating.  We are Borg. The blurb from the link follows:

Although several researchers have questioned the idea that human technology use is rooted in unique “superior” cognitive skills, it still appears that only humans are capable of producing and interacting with complex technologies. Different paradigms and cognitive models of “human-computer interaction” have been proposed in recent years to ground the development of novel devices and account for how humans integrate them in their daily life.

Psychology has been involved under numerous accounts to explain how humans interact with technology, as well as to design technological instruments tailored to human cognitive needs. Indeed, the current technological advancements in fields like wearable and ubiquitous computing, virtual reality, robotics and artificial intelligence give the opportunity to deepen, explore, and even rethink the theoretical psychological foundations of human technology use.

The miniaturization of sensors and effectors, their environmental dissemination and the subsequent disappearance of traditional human-computer interfaces are changing the ways in which we interact not only with digital technologies, but with traditional tools as well. More and more entities can now be provided with embedded computational and interactive capabilities, modifying the affordances commonly associated with everyday objects (e.g., mobile phones, watches become “smart watches”).

This is paralleled by novel frameworks within which to understand technology. A growing number of approaches view technology use as resting on four legs, namely cognition, body, tool, and context (of course including social, cultural, and other issues). The idea is that only by viewing how these notions interact and co-determine each other can we understand what makes the human invention, adoption, and use of technology so peculiar.

Consider for example how advanced artificial prostheses are expanding the human capabilities, at the same time yielding a reconsideration of how we incorporate tools into our body schema and how cognition relates to and interacts with bodily features and processes. Then, of course, the new mind/body-with-prostheses participates in physical, cultural, and social contexts which in their turn affect how people consider and use them. Analogously, technologies for “augmenting the human mind”, such as computational instruments for enhancing attention, improving learning, and quantifying mental activities, impact on cognition and metacognition, and how we conceptualize our self.

Conversely, while virtual environments and augmented realities likely change how we experience and perceive what we consider reality, robots and autonomous agents make it relevant to explore how we anthropomorphize artificial entities and how we socially interact with them.

All these theoretical changes then back-influence our view of more traditional technologies. In the end, even a Paleolithic chopper both required a special kind of mind and at the same time modified it, the users’ bodily schema, or the way in which they participated in their sociocultural contexts.

Technological changes thus inspire a renewed discussion of the cognitive abilities that are commonly associated with technology use, like causal and abductive thought and reasoning, executive control, mindreading and metacognition, communication and language, social cognition, learning and teaching, both in relation to more traditional tools and complex interactive technologies.

The current Research Topic welcomes submissions focused on theoretical, empirical, and methodological issues as well as reflections and critiques concerning how humans create, interact, and account for technology from a variety of perspectives, from cognitive psychology, evolutionary psychology, constructivism, phenomenology, ecological psychology, social psychology, neuroscience, human-computer interaction, and artificial intelligence.

Relevant topics include but are not limited to:
– Distributed cognition in interactive environments
– Social cognition and computer-mediated communication
– Theoretical and empirical investigation of embodiment and technology
– Affordances of “traditional objects” and technological devices
– Theory of mind and social interactions with intelligent agents and robots
– Cognitive models for designing, interacting with, or evaluating technology
– Empirical studies on human-technology interaction
– Evolutionary accounts of human tool use
– Differences between animal and human tool use
– Methodological issues and opportunities in human-technology interaction

The empty brain

Article by Robert Epstein. He begins by noting the various metaphors we’ve used throughout the ages to describe the workings of our mind/brain: clay infused with spirit; the hydraulic model; springs and gears; and now the information processor (IP). While the author claims we can get to a real model without metaphor, he suggests the embodied model in direct interaction with the world. But that too is a metaphor, for we cannot escape using them to frame our minds, or anything, for that matter. His bottom line and with which I agree, is that the IP model is outdated, that our mind/brains do not process and store information like a computer, and it’s time to move on to the interactive mind/brain/body/environment metaphor, what we could just called the ecological metaphor. As a species we do seem to be making progress with our understanding, and this appears to be our next best guess.

Robert Epstein is a senior research psychologist at the American Institute for Behavioral Research and Technology in California. He is the author of 15 books, and the former editor-in-chief of Psychology Today.

Consciousness in Humanoid Robots

New ebook from Frontiers in Science. The blurb:

Building a conscious robot is a grand scientific and technological challenge. Debates about the possibility of conscious robots and the related positive outcomes and hazards for human beings are today no more confined to philosophical circles. Robot consciousness is a research field aimed to a unified view of approaches as cognitive robotics, epigenetic and affective robotics, situated and embodied robotics, developmental robotics, anticipatory systems, biomimetic robotics. Scholars agree that a conscious robot would completely change the current views on technology: it would not be an “intelligent companion” but a complete novel kind of artifact. Notably, many neuroscientists involved in the study of consciousness do not exclude this possibility. Moreover, facing the problem of consciousness in robots may be a major move on the study of consciousness in humans and animals.

The Frontiers Research Topic on consciousness in humanoid robots concerns the theoretical studies, the models and the case studies of consciousness in humanoid robots. Topics related to this argument are:
– the needs of a body for robot consciousness;
– robot self-consciousness;
– the capability of a robot to reason about itself, its body and skills;
– the episodic memory in a robot, i.e., the ability to take into account its operational life;
– design strategies versus developmental approaches in assessing consciousness in a robot;
– robot architectures candidates for consciousness;
– symbolic versus neural networks representations in robot consciousness;
– consciousness, theory of mind and emotions in a humanoid robot;
– measurements and assessments of consciousness and self-consciousness in a robot;
– ethical and trust issues in a conscious humanoid robot.

Book: Range: Why Generalists Triumph in a Specialized World

In his new book, Range: Why Generalists Triumph in a Specialized World, David J. Epstein investigates the significant advantages of generalized cognitive skills for success in a complex world. We’ve heard and read many praises for narrow expertise in both humans and AIs (Watson, Alpha Go, etc.). In both humans and AIs, however, narrow+deep expertise does not translate to adaptiveness when reality presents novel challenges, as it does constantly. 

As you ingest this highly readable, non-technical book, please add your observations to the comments below. 

Ideas of Stuart Kauffman

If you are familiar with complex systems theorist Dr. Stuart Kauffman’s ideas you know he covers a broad range of disciplines and concepts, many in considerable depth, and with a keen eye for isomorphic and integrative principles. If you peruse some of his writings and other communications, please share with us how you see Kauffman’s ideas informing our focal interests: brain, mind, intelligence (organic and inorganic), and self-aware consciousness.

Do you find Kauffman’s ideas well supported by empirical research? Which are more scientific and which, if any, more philosophical? What intrigues, provokes, or inspires you? Do any of his perspectives or claims help you better orient or understand your own interests in our focal topics?

Following are a few reference links to get the conversation going. Please add your own in the comments to this post. If you are a member and have a lot to say on a related topic, please create a new post, tag it with ‘Stuart Kauffman,’ and create a link to your post in the comments to this post.

Book: Team Human by Douglas Rushkoff

Team Human by Douglas Rushkoff investigates the impacts of current and emerging technologies and digital culture on individuals and groups and seeks ways to evade or extract ourselves from their corrosive effects.

After you read the book, please post your thoughts as comments to this post or, if you prefer, as new posts. There are interviews and other resources about the book online. Feel free to recommend in the comments those you find meaningful. Also, the audiobook is available through the Albuquerque Public Library but may have a long wait queue (I’m aiming for a record number of ‘q’s in this sentence).

Please use the tag and/or category ‘Rushkoff’ in your new posts. Use any other tags or categories you want. To access categories and tags while composing a post, click ‘Document’ at the top of the options area on the right side of the editing page.

How to add a category to a post in WordPress sites using the Gutenberg editor

Any comments you add to this post should inherit the post’s categories and tags. Add any additional ones as you like.

Last, this site includes a book reviews app for registered site members. To use it, log in and select Review under the New menu.

Starting a new book review

Evolutionary robots – Future of embodied AI?

Photo by Jeremy Avery on Unsplash

An article in Nature Machine Intelligence reports on R&D efforts employing evolutionary approaches to getting robots that are better adapted to their environments.

We propose ‘multi-level evolution’, a bottom-up automatic process that designs robots across multiple levels and niches them to tasks and environmental conditions. Multi-level evolution concurrently explores constituent molecular and material building blocks, as well as their possible assemblies into specialized morphological and sensorimotor configurations. Multi-level evolution provides a route to fully harness a recent explosion in available candidate materials and ongoing advances in rapid manufacturing processes.

ai will never conquer humanity

From this piece located at the publications page of the International Computer Science Institute.   “Mathematical models help describe reality, but only by ignoring its inherent integrity.” Computers work on binary logic and the world is full of  ‘noise.’ Hence computers, and mathematical models for that matter, can only approximate reality by eliminating that noise.

“Can a bunch of bits represent reality exactly, in a way that can be controlled and predicted indefinitely? The answer is no, because nature is inherently chaotic, while a bunch of bits representing a program can never be so, by definition.”

Which leads us to ask: “Are our mathematical models just a desperate, failed attempt to de-noise an otherwise very confusing, extremely blurred reality?”

So yes, math and computers are quite useful as long as we keep the above in mind instead of assuming they reveal reality as it is. And as long as we also search for that noisy humanity in the spaces between binary logic, which will never be revealed by math or computers alone.

Rushkoff: Team Human

Mark suggested this book as a future group reading and discussion and I agree. Rushkoff provides a very brief summary of his new book on the topic in the TED talk below. It starts with tech billionaires main concern being: Where do I build my bunker at the end of the world? So what happened to the idyllic utopias we thought tech was working toward, a collaborative commons of humanity? The tech boom became all about betting on stocks and getting as much money as possible for me, myself and I while repressing what makes us human. The motto became: “Human beings are the problem and technology is the solution.” Rushkoff is not very kind to the transhumanist notion of AI replacing humanity either, a consequence of that motto. He advises that we embed human values into the tech so that it serves us rather than the reverse.