Deep blue

Advances in Neural Information Processing Systems 19 (NIPS 2006)

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IBM's Deep Blue Chess grandmaster chips

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Singular extensions

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An Improvement to the Scout Tree Search Algorithm

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Knowledge discovery in deep blue

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Chess as problem solving: the development of a tactics analyzer.

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Machines that learn to play games

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Large Scale Parallelization Of Alpha-Beta Search

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Advances in Computer Chess

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BEHIND DEEP BLUE

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Scalable Search in Computer Chess

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Are there Practical Alternatives to Alpha-Beta?

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Experiments with the Null-Move Heuristic

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A Taxonomy of Parallel Game-Tree Search Algorithms

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The Sex Algorithm in Computer Chess

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A two-million moves/s CMOS single-chip chess move generator

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ALPHA-BETA-CONSPIRACY SEARCH1

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Scalable Search in Computer Chess: Algorithmic Enhancements and Experiments at High Search Depths (Computational Intelligence)

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Mastering the game of Go with deep neural networks and tree search

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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

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Grandmaster level in StarCraft II using multi-agent reinforcement learning

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Machine behaviour

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Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects

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A Comprehensive Overview of Large Language Models

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Mastering Atari, Go, chess and shogi by planning with a learned model

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Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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Explainable artificial intelligence: an analytical review

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Deep learning for computational chemistry

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The rise and potential of large language model based agents: a survey

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Superhuman AI for multiplayer poker

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Humans and Technology: Forms of Conjoined Agency in Organizations

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Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation

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Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

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Artificial intelligence in dentistry-a review

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Toward Human Parity in Conversational Speech Recognition

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Cooperative AI: machines must learn to find common ground

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Hybrid collective intelligence in a human–AI society

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What the Near Future of Artificial Intelligence Could Be

Floridi, L. (2019) · Philosophy & Technology · doi:10.1007/s13347-019-00345-y · Cited by 191 · see citing works

A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government

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System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

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Open Problems in Cooperative AI

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Algorithm exploitation: Humans are keen to exploit benevolent AI

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Effects of Communication Directionality and AI Agent Differences in Human-AI Interaction

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Unpredictability of AI: On the Impossibility of Accurately Predicting All Actions of a Smarter Agent

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Motivations for Artificial Intelligence, for Deep Learning, for ALife: Mortality and Existential Risk

Harvey, I. (2024) · Artificial Life · doi:10.1162/artl_a_00427 · Cited by 6 · see citing works

On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference

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The Impact of Emotional Experiences of Innovation Champions on Innovation Outcomes

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Making a Thai Boxing Champion

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Computing: Chess chips rethink strategy

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New Era: How Garry Kasparov Changed the World of Chess

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What’s new in computers?

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