Κυρα κατίνες & κουτσές Μαρίες

Οι μετά μεγίστης απαξιώσεως αποκαλούμενες κυρα Κατίνες πόσο άραγε απέχουν από την ούτως ή άλλως χαμηλή  μέση τιμή κοινωνικής ευαισθησίας;

Fire, Stone and a Sharp Knife

I guess I was a little nostalgic
and I kept writing for the fall
meanwhile you,caressing flowers
claimed that the spring has come

I guess I was a little angry
the time I wrote about my march
you wrote hymns for loneliness
about good friends,about the past

I guess I was a little nervous
the days I wrote about the Angst
how sweet your writing about lovers
your feelings that for ever last

I guess I'll always be the same
a fly that drowns in your milk
a fire, a stone and a sharp knife
tearing your dress of fine silk

Παρέκκλιση

Όταν ξαφνικά αντιληφθείς ότι έχεις παρεκκλίνει κατά πολύ από την πορεία σου, γιατί αλλάζεις την πυξίδα σου; Άλλαξε πυξίδα αλλά άλλαξε και πλήρωμα μαζί.

Arrivo e Partenza

Il giorno del tuo arrivo
Mi hai trovato gia' qui
Con una testa bambina
Un uomo abbandonato
Seduto s’ una panchina

Riempisti il mio armadio
Di vestiti tuoi,tanti
Cari ed eleganti
Ed eri gia in casa mia

Un di' abbiamo detto
"Noi e loro e poi
Noi o loro..."

Costruimmo un muro
Attorno a noi
Molta terra, poche pietre
Poi hai preso a ridere
Ballare e viaggiare
Ti ho parlato un po'
Con la mia voce triste
Ti ho voluto insegnare
A pensare, atterrarti
Senza vergogna pero'
In vano...

Non avevi bisogno di me
Oppure non l’ho capito ?
Tu con le spalle al muro
Piangendo per amore
Io ti accarezzai la testa
Cio ho potuto far per te
E c’era il muro attorno a noi
Poca terra, tante pietre.

Un giorno mi hai chiamato
"Non lo voglio questo da te"
Piangevi ed io facevo lo stesso
Chiuso nel bagno, seduto
"E' la mia vita, tu lo sai
non voglio farti del male"

Dopo qualche mese eri via
Ed io sempre qui
Con una testa bambina
Abbandonato, s’una panchina
Il muro e' crollato

E c' e' la terra, terra,
tanta tanta terra
Non piu' attorno a noi
Ma fra di noi.

Πληροφορίες - Fuzzy logic.

Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In contrast with "crisp logic", where binary sets have binary logic, the fuzzy logic variables may have a membership value of not only 0 or 1 – that is, the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values of classic propositional logic.^[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.
Fuzzy logic emerged as a consequence of the 1965 proposal of fuzzy set theory by Lotfi Zadeh.^[2][3] Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic.