Universal Communication Brendan Juba (MIT) With: Madhu Sudan (MIT) Setting WHAT IS BOB GAINING FROM THIS INTERACTION?? TO SEE IF THEY ARE INTELLIGENT? TO OBTAIN WISDOM? WHY WOULD YOU TALK TO AN ALIEN? TO ASK THEM TO STOP BOMBARDING US WITH DANGEROUS RADIATION?? Motivation WHAT CAN BOB LEARN FROM ALICE? Setting • Fix a set S and a string x • Bob wishes to learn “xS?” • WANT: protocol that terminates with a verdict that is CORRECT (whp) • Also: efficient in length of x Outline 1. Definition: Universal protocol 2. Analysis of communicating wisdom 3. Generalizing goals We want a theorem of the form ??? “Here is a Bob s.t. for every alien language and every instance x, Bob efficiently learns if xS” Language??? • Grammar? STRONG ASSUMPTIONS! • Terms? • Strings with interpretations X Observation Some Alices are unhelpful. I COULD HELP, IF I WANTED. Solution Require Alice be helpful in some language. xS? xS Observation WHAT’S THE PASSWORD? Some Alices are still unhelpful. HELLO?? @&^#*&^%$; x? xS I’M NOT TALKING TO YOU ANYMORE. Revision • Require that some B’ can efficiently decide “xS?” with Alice’s assistance, independent of prior message history • Henceforth, such Alices will be called S-helpful Definition: S-Universal Bob is S-Universal if S-helpful A polynomial p x (of length n) whp Bob decides “xS?” when conversing with A, within p(n) steps in expectation Outline Definition: Universal protocol 2. Analysis of communicating wisdom 3. Generalizing goals MAIN IDEA #1 • We can efficiently enumerate and run all efficient protocols • If A is S-Helpful, she helps an efficient protocol B’ that appears in the enumeration MAIN IDEA #2 • If we can get a proof of either xS or xS, we can guarantee correctness • If SIP, such proofs exist • If S is PSPACE-complete, we can reduce proving (non)membership to other instances of S Theorem For any PSPACE-complete S, there is a S-Universal protocol For how large a class of sets can we exhibit a universal protocol? Limitation 1: main observation • Suppose that for some x, some malicious alien Alice can mislead Bob (whp) • We can convert Alice into a “helpful” A’ who still misleads Bob: pad the useful queries • Recall: a S-Universal Bob should not be misled by a S-Helpful Alice! Limitation 1: finishing up • Thus: a S-Universal Bob satisfies a strong soundness condition • In PSPACE we can find the messages that maximize the probability that Bob halts quickly • Since Bob is sound, his verdict on these messages decide S First limitation If an S-Universal protocol exists, SPSPACE Second limitation (Assuming BPP ≠ PSPACE) For any PSPACE-complete S, if Alice helps a protocol of length l the running time of a S-Universal Bob must include a constant factor that is exponential in l Outline Definition: Universal protocol Analysis of communicating wisdom 3. Generalizing goals What about efficiency? • Our construction obtained wisdom from an Alice who could decide PSPACE • We obtain analogous results with efficient Alices: limit resources used by our interpreter • Depending on resources used to verify, may only be meaningful in an online sense: “Bob converges to a non-trivial interpreter” General setting 1. SOME interactions are successful, others are NOT. 2. We seek a protocol that tells us how to engage in successful interactions (whp) Define: “goal” • Efficiently verifiable sufficient conditions on Bob’s view of interaction • E.g., effective, efficient protocols! • Easy generalization of our definitions and universal protocol for the computational goal to any such goal (technical) CONCLUSION UNIVERSAL COMMUNICATION is (only) possible for VERIFIABLE GOALS. Practical motivation • Designing protocols for individual devices. (cf. sets, pairs, etc.) • Simpler, more robust networks Practical technical challenges 1. Design suitable “goals” (think: “program checking”) 2. Find a restricted class of protocols that permits “length-efficient” setup Thank you! Questions?
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