1) At the scale of an individual organism (be it a unicellular creature, a single cell in a multicellular organism, or an individual in a eusocial species), what are the inherent physical constraints relating to thermodynamic efficiency, fitness, and intelligence?
2) At the scale of natural selection, how should the theorems of evolutionary biology be modified to account for the trade-off between the thermodynamic costs of performing computation and the fitness benefits of computations?
https://www.dropbox.com/scl/fo/t2089fl9prh12m2c23yw1/h?rlkey=80pai6ifgkhu1qi8b3vuksh1b&dl=0
9:00 – 9:30 Registration
9:30 – 10:00 Welcome
10:00 – 10:30 David Wolpert
10:50 – 11:10 Coffee break
11:10 – 11:40 Valentin Riedl
12:00 – 14:00 Lunch Break
14:00 – 14:30 Edgar Roldán
14:50 – 15:05 Coffee Break
15:05 – 15:35 Robert Foley
15:55 – 16:25 Tom Ouldridge
9:00 – 9:30 Coffee
9:30 – 10:00 Sosuke Ito
10:20 – 10:40 Coffee break
10:40 – 11:10 Gonzalo Manzano
11:30 – 12:00 Peter Stadler
12:20 – 14:00 Lunch break
14:00 – 14:30 Chris Kempes
14:50 – 15:05 Coffee break
15:05 – 15:35 Riccardo Rao
15:55 – 17:00 Round table
Can every participant briefly introduce themself?
Please mention briefly:
metabolism
nutrients
energy
ATP
chemical reaction network
energy \(E_n\)
# particles \(N_n\)
evolution
genotype
phenotype
fitness function \(\Psi_n\)
environment
production of DNA,
proteins
ATP synthase
...
Entropy production - the arrow of time
$$\Sigma = D_{KL}(P(x(t))||\tilde{P}(\tilde{x}(t))) $$
EP is the measure of the time irreversibility of a system
Many results of non-equilibrium thermodynamics remain valid also for non-physical systems
\( \frac{P(\Sigma_t = A)}{\tilde{P}(\Sigma_t= -A)} = e^{At} \)
FT's
\(\frac{Var(J_t)}{E(J_t)^2} \geq \frac{2}{\Sigma_t}\)
TUR's
\(\frac{L(p(t),p(0))}{2 \Sigma_t \bar{A}_t} \leq t\)
SLT's