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Programming with Algebraic Effects and Handlers (1203.1539v1)

Published 7 Mar 2012 in cs.PL

Abstract: Eff is a programming language based on the algebraic approach to computational effects, in which effects are viewed as algebraic operations and effect handlers as homomorphisms from free algebras. Eff supports first-class effects and handlers through which we may easily define new computational effects, seamlessly combine existing ones, and handle them in novel ways. We give a denotational semantics of eff and discuss a prototype implementation based on it. Through examples we demonstrate how the standard effects are treated in eff, and how eff supports programming techniques that use various forms of delimited continuations, such as backtracking, breadth-first search, selection functionals, cooperative multi-threading, and others.

Citations (213)

Summary

  • The paper introduces Eff, demonstrating how algebraic effects and handlers enable flexible management of computational effects.
  • Eff models standard effects like I/O, state, and exceptions as algebraic operations that are manipulated through dedicated handlers.
  • By leveraging effect instances and delimited continuations, the approach opens avenues for dynamic effect composition and advanced control flow management.

An Expert Overview of "Programming with Algebraic Effects and Handlers"

The paper "Programming with Algebraic Effects and Handlers," authored by Andrej Bauer and Matija Pretnar, presents Eff, a programming language developed on the principles of algebraic effects and handlers. The focus of Eff is to treat computational effects as first-class citizens that can be expressed as algebraic operations and manipulated via effect handlers modeled as homomorphisms from free algebras. This perspective allows for the flexible definition and seamless combination of computational effects, both standard and user-defined.

Technical Summary

Eff incorporates algebraic effects by handling them through a structured approach that regards effects such as I/O, non-determinism, exceptions, and state as standard algebraic operations. The language further supports delimited continuations, enabling it to handle more complex control flows like backtracking and cooperative multithreading, which are traditionally challenging in imperative languages.

Key features of Eff include:

  • Syntax and Semantics: Eff offers a syntax that resembles OCaml, integrating constructs for defining and handling effects and providing a domain-theoretic semantics that models both expressions and computations without setting explicit types, aligning with Curry-style type interpretation.
  • Effect Instances: It introduces the notion of effect instances, which enables the encapsulation and unique identification of effects, akin to dynamically allocated resources in more conventional languages.
  • Handlers: Handlers in Eff allow for a programmable handling of effects, enabling actions like result manipulation, modifying control flow, and maintaining internal state over computations driven by algebraic effects.

Numerical Results and Claims

The paper elaborates on several examples, demonstrating the practicality and expressiveness of Eff in handling computational effects. These include implementations of choice operations, exception handling, mutable state, input/output, and complex control mechanisms such as cooperative multithreading. Eff's capability to effortlessly handle non-algebraic effects like continuations is argued to arise naturally from its design.

Implications and Speculation on Future Developments

The implications of this research extend beyond the confines of Eff itself. The foundational work on algebraic effects and handlers could significantly influence how languages evolve in handling side effects and parallel programming paradigms. The algebraic model not only enhances composability but also offers insights into effectful operation reasoning, potentially leading to novel optimization strategies and analysis tools in programming languages.

The authors suggest potential avenues for future work, including:

  • Developing Comprehensive Effect Systems: Creating an effect system that provides a meaningful static analysis of effects could bolster Eff's applicability in real-world scenarios, balancing expressiveness against complexity.
  • Equational Reasoning and Logic: Exploring equational reasoning in programming languages with first-class effects could lead to advancements in program correctness and verification.
  • Further Exploration of Delimited Continuations: The unexpected support for delimited continuations without explicit design considerations in Eff prompts deeper investigation into control operations in programming languages with algebraic effects.

This paper presents Eff not as an end but as a promising beginning for reimagining how computational effects can be effectively integrated and managed within programming languages. By adopting an algebraic approach, Bauer and Pretnar offer a robust framework that could reshape the landscape of effect management and combinatory effects in future language designs.

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