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Many AI systems are organized around loops in which models reason, call tools, observe results, and continue until a task is complete. These systems often produce final artifacts such as memos, plans, recommendations, and analyses, while…

Artificial Intelligence · Computer Science 2026-05-13 Josh Rosen , Seth Rosen

Systems of deterministic finite automata communicating by sending their states upon request are investigated, when the amount of communication is restricted. The computational power and decidability properties are studied for the case of…

Formal Languages and Automata Theory · Computer Science 2014-05-23 Henning Bordihn , Martin Kutrib , Andreas Malcher

We consider polling models in the sense of Takagi (MIT Press, 1986). In our case, the feature of the server is that it may be forced to wait idly for new messages at an empty queue instead of switching to the next station. We propose four…

Probability · Mathematics 2016-12-15 Frank Aurzada , Sebastian Schwinn

What is a finite-state strategy in a delay game? We answer this surprisingly non-trivial question by presenting a very general framework that allows to remove delay: finite-state strategies exist for all winning conditions where the…

Computer Science and Game Theory · Computer Science 2019-12-16 Sarah Winter , Martin Zimmermann

We sketch a simple language of concurrent objects which explores the design space between type systems and continuous testing. In our language, programs are collections of communicating automata checked automatically for multiparty…

Programming Languages · Computer Science 2016-09-08 Roly Perera , Simon J. Gay

Self-adjusting computation offers a language-based approach to writing programs that automatically respond to dynamically changing data. Recent work made significant progress in developing sound semantics and associated implementations of…

Programming Languages · Computer Science 2011-08-17 Matthew A. Hammer , Georg Neis , Yan Chen , Umut A. Acar

Interactive reinforcement learning has allowed speeding up the learning process in autonomous agents by including a human trainer providing extra information to the agent in real-time. Current interactive reinforcement learning research has…

Artificial Intelligence · Computer Science 2021-09-06 Adam Bignold , Francisco Cruz , Richard Dazeley , Peter Vamplew , Cameron Foale

We consider social learning in a changing world. Society can remain responsive to state changes only if agents regularly act upon fresh information, which limits the value of social learning. When the state is close to persistent, a…

Theoretical Economics · Economics 2022-01-07 Raphaël Lévy , Marcin Pęski , Nicolas Vieille

The fundamental question considered in algorithms on strings is that of indexing, that is, preprocessing a given string for specific queries. By now we have a number of efficient solutions for this problem when the queries ask for an exact…

Data Structures and Algorithms · Computer Science 2023-04-04 Paweł Gawrychowski , Garance Gourdel , Tatiana Starikovskaya , Teresa Anna Steiner

Single-step retrieval-augmented generation (RAG) provides an efficient way to incorporate external information for simple question answering tasks but struggles with complex questions. Agentic RAG extends this paradigm by replacing…

Computation and Language · Computer Science 2026-05-08 Yijia Zheng , Marcel Worring

Formal query building is an important part of complex question answering over knowledge bases. It aims to build correct executable queries for questions. Recent methods try to rank candidate queries generated by a state-transition strategy.…

Computation and Language · Computer Science 2021-09-09 Yongrui Chen , Huiying Li , Yuncheng Hua , Guilin Qi

This paper presents a data stationary architecture in which each word has an attached address field. Address fields massively update in parallel to record data interchanges. Words do not move until memory is read for post processing. A sea…

Hardware Architecture · Computer Science 2007-05-23 J. R. Burger

Static analysis by abstract interpretation is generally designed to be "sound", that is, it should not claim to establish properties that do not hold-in other words, not provide "false negatives" about possible bugs. A rarer requirement is…

Programming Languages · Computer Science 2024-12-11 David Monniaux

A run of the deferred acceptance (DA) algorithm may contain proposals that are sure to be rejected. We introduce the accelerated deferred acceptance algorithm that proceeds in a similar manner to DA but with sure-to-be rejected proposals…

Theoretical Economics · Economics 2024-09-13 Gregory Z. Gutin , Daniel Karapetyan , Philip R. Neary , Alexander Vickery , Anders Yeo

Human computer conversation is regarded as one of the most difficult problems in artificial intelligence. In this paper, we address one of its key sub-problems, referred to as short text conversation, in which given a message from human,…

Information Retrieval · Computer Science 2014-09-01 Zongcheng Ji , Zhengdong Lu , Hang Li

A goal shared by artificial intelligence and information retrieval is to create an oracle, that is, a machine that can answer our questions, no matter how difficult they are. A more limited, but still instrumental, version of this oracle is…

Information Retrieval · Computer Science 2019-08-20 Rodrigo Nogueira

Previous approaches to turn-taking and response generation in conversational systems have treated it as a two-stage process: First, the end of a turn is detected (based on conversation history), then the system generates an appropriate…

Computation and Language · Computer Science 2023-05-04 Bing'er Jiang , Erik Ekstedt , Gabriel Skantze

Programming a parallel computing system that consists of several thousands or even up to a million message passing processing units may ask for a language that supports waiting for and sending messages over hardware channels. As programs…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-17 Oskar Schirmer

Query answering in Answer Set Programming (ASP) is usually solved by computing (a subset of) the cautious consequences of a logic program. This task is computationally very hard, and there are programs for which computing cautious…

Artificial Intelligence · Computer Science 2020-02-19 Mario Alviano , Carmine Dodaro , Francesco Ricca

We develop a behavioural theory of reflective parallel algorithms (RAs), i.e. synchronous parallel algorithms that can modify their own behaviour. The theory comprises a set of postulates defining the class of RAs, an abstract machine…

Logic in Computer Science · Computer Science 2025-08-13 Klaus-Dieter Schewe , Flavio Ferrarotti