Tag: #HumanAI
-
Active Construction of Past Episodes
“The active construction of past episodes” Episodic memories – declarative memories of past events, characterized by rich spatiotemporal context – play a central role in guiding perception and behaviour. Here, we advance a model that integrates episodic memories within the active inference framework. We describe how episodic memories are incorporated into the generative models used…
-
Wise Machines
“Imagining and building wise machines: the centrality of AI metacognition” Although artificial intelligence (AI) has become increasingly smart, its wisdom has not kept pace. In this opinion article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We introduce human wisdom as strategies for solving intractable problems—those outside…
-
Intuitive insight: Fast associative processes drive sound creative thinking
“Intuitive insight: Fast associative processes drive sound creative thinking” Convergent thinking, the ability to find a single optimal solution to a well-defined problem, is considered a core component of creativity, and is often assumed to rely on controlled, deliberative processes. We tested this assumption using the Compound Remote Associates (CRA) test, where participants have to…
-
Fast, slow, & metacognitive
“Fast, slow, and metacognitive thinking in AI” Inspired by the ”thinking fast and slow” cognitive theory of human decision making, we propose a multi-agent cognitive architecture (SOFAI) that is based on ”fast”/”slow” solvers and a metacognitive module. We then present experimental results on the behavior of an instance of this architecture for AI systems that…
-
AI only sees the data trail, not the human story
Cassie Kozyrkov just shared a great story: “AI only sees the data trail, not the human story“ AI only sees the past, not the future.AI only sees the pattern, not the purpose.AI only sees the data trail, not the human story.AI only sees compliance, not commitment.AI only sees keyword matches, not understanding.AI only sees what…
-
Defining intelligence: Bridging the gap
“Defining intelligence: Bridging the gap between human and artificial perspectives“ Achieving a widely accepted definition of human intelligence has been challenging, a situation mirrored by the diverse definitions of artificial intelligence in computer science. By critically examining published definitions, highlighting both consistencies and inconsistencies, this paper proposes a refined nomenclature that harmonizes conceptualizations across the two disciplines.…
-
Bayesian Models of Cognition
“Bayesian Models of Cognition Reverse Engineering the Mind” is a new MIT-press Open Access book available for online reading. The definitive introduction to Bayesian cognitive science, written by pioneers of the field. How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide…
-
Will We Ever Have Conscious Machines?
The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of being really self-aware or merely a clever imitation cannot be answered without access to knowledge about the mechanism’s…
-
Andy Clark “How the brain shapes reality”
Philosopher and cognitive scientist Andy Clark challenges our conventional understanding of the mind’s interaction with the world. A great and entertaining lecture. I like the reflection with the reference to the weather forecast and how the forecast impacts “reality” perception. At the very least, understanding all those prediction-driven, precision-inflected, looping influences should bring us a…
-
AI Resources – A Worry
ChatGPT is the first non-human addition to the list of people who shaped science… But also we have a worry related to this fact, as told in the (Dec.19,2023) Quote of the day “What worries me is we don’t have the resources to make sure that academic AI continues to be a centre of gravity.…
-
Generating meaning – AI²: predicting wor(l)ds
I would like to quote some of the great insights and statements from the opinion by G. Pezzulo, T. Parr, P. Cisek, A Clark, and K. Friston published in TICS: “Generating meaning: active inference and the scope and limits of passive AI“. Does ChatGPT ‘understand‘ what it talks about in the way we do, or…
-
Interoception and Active Inference for mental health
Interoception refers to the process by which the nervous system senses and integrates signals originating from within the body, providing a momentary mapping of the body’s internal landscape and its relationship to the outside world. Active inference is based on the premise that afferent sensory input to the brain is constantly shaped and modified by…
-
The Future of Artificial Intelligence by Melanie Mitchell
AI is all around us recognizing our faces in photos, transcribing our speech, constructing our news feeds, navigating our driving routes, answering our search queries, and much more. But rapidly improving AI is poised to play a much bigger role in all of our lives. In this lecture, AI expert Melanie Mitchell demystifies how current-day…
-
Conceptual Bootstrapping (human cognition)
To tackle a hard problem, it is often wise to reuse and recombine existing knowledge. Such an ability to bootstrap enables us to grow rich mental concepts despite limited cognitive resources. This article presents a computational model of conceptual bootstrapping. This model uses a dynamic conceptual repertoire that can cache and later reuse elements of…
-
Puzzled …? – Consider the Bayesian brain hypothesis!
Dysfunctional breathing disorder(s) (DBD) is an umbrella term for a set of poorly distinguishable clinical conditions including the most emblematic and anciently known hyperventilation syndrome. DBD affects in a variable proportion (between 5 and 35%) both adults and children, with a highly negative impact on health-related quality of life. DBD is consensually considered as a…
-
The Physics of Survival
Please enjoy the fascinating discussion of the free energy principle with Dr. Maxwell Ramstead, a leading thinker exploring the intersection of math, physics, and philosophy and Director of Research at VERSES. The 2 hour discussion includes great details on FEP. The FEP was proposed by renowned neuroscientist Karl Friston, this principle offers a unifying theory…
