Sean Carroll’s 2016 book, The Big Picture, is a rather well-succeeded attempt to cover all the topics that are listed in the subtitle of the book, life, the universe, and everything. Carroll calls himself a poetic naturalist, short for someone who believes physics explains everything but does not eliminate the need for other levels of description of the universe, such as biology, psychology, and sociology, to name a few.
Such an ambitious list of topics requires a fast-paced book, and that is exactly what you get. Organized in no less than 50 chapters, the book brings us from the very beginning of the universe to the many open questions related to intelligence, consciousness, and free-will. In the process, we get to learn about what Carroll calls the “core theory”, the complete description of all the particles and forces that make the universe, as we know it today, encompassing basically the standard model and general relativity. In the process, he takes us through the many things we know (and a few of the ones we don’t know) about quantum field theory and the strangeness of the quantum world, including a rather good description of the different possibilities of addressing this strangeness: the Copenhaguen interpretation, hidden variables theories and (the one the author advocates) Everett’s many-worlds interpretation.
Although fast-paced, the book succeeds very well in connecting and going into some depth into these different fields. The final sections of the book, covering life, intelligence, consciousness, and morals are a very good introduction to these complex topics, many of them addressed also in Sean Carroll popular podcast, Mindscape.
Sean Carroll’s Mindscape podcast addresses topics as diverse as the interests of the author, including (but not limited to) physics, biology, philosophy, complexity, intelligence, and consciousness. Carroll has interviewed, in-depth, a large number of very interesting scientists, philosophers, writers, and thinkers, who come to talk about some of the most central open topics in science and philosophy.
Among many other, Daniel Dennett discusses minds and patterns; Max Tegmark physics, simulation and the multiverse; António Damásio feeling, emotions and evolution; Patricia Churchland, conscience and morality; and David Chalmers, the hard problem of consciousness.
In all the interviews, Sean Carroll conducts the conversation in an easy and interactive mode, not imposing his own views, not even on the more controversial topics where the interviewees hold diametrically opposed opinions.
If you are into science and into podcasts, you cannot miss this one.
Bernard Baars has been one of the few neuroscientists who has dared to face the central problem of consciousness head-on. This 1997 book, which follows his first and most popular book, “A cognitive theory of consciousness”, aims at shedding some light on that most interesting of phenomena, the emergence of conscious reasoning from the workings of atoms and molecules that follow the laws of physics. This book is one of his most relevant works and supports the Global Workspace Theory (GWT), which is one of the few existing alternatives to describe the phenomenon of consciousness (the other one is Integrated Information Theory, IIT).
Baars’ work is probably not as widely known as it deserved, even though he is a famous author and neuroscientist. Unlike several other approaches, by authors as well-known as Daniel Dennett and Douglas Hofstadter, Baars tries to connect actual neuroscience knowledge with what we know about the phenomenon of consciousness.
He does not believe consciousness is an illusion, as several other authors (Dennet and Nørretranders, for instance) have argued. Instead, he argues that specific phenomena that occur in the cortex give rise to consciousness, and provides evidence that such is indeed the case. He argues for a principled approach to study consciousness, treating the phenomenon as a variable, and looking for specific situations that are similar between them but sufficiently different to be diverse in what respects to consciousness.
He proposes a theater metaphor to model the way consciousness arises and provides some evidence that this may be a workable metaphor to understand exactly what goes on in the brain when conscious behavior occurs. He presents evidence from neuroimaging and from specific dysfunctions in the brain that the theater metaphor may, indeed, serve as the basis for the creation of actual conscious, synthetic, systems. This work is today more relevant than ever, as we approach rapidly what can be learned with deep neural networks, which are not only unconscious but also unaware of what they are learning. Further advances in learning and in AI may depend critically on our ability to understand what is consciousness and how it can be used to make the learning of abstract concepts possible.