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NONick One-Dropnickonedrop.hashnode.dev2d ago · 3 min read

Multi-agent cooperation through in-context co-player inference (2026)

This paper takes a decentralized multi-agent reinforcement learning approach. What does that mean here? For context, let’s look at another DeepMind paper with overlapping authors: Multi-agent cooperat

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DSDipen Shahtechecho.hashnode.dev5d ago · 12 min read

Simulating Natural Selection: Why Unconditional Kindness Dies, and How Clusters of Trust Conquer the World

Opening question In Episodes 1 through 3, our computational tournaments operated under a fixed social contract: The population was static. The experimenter handpicked the participants, and every arche

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DSDipen Shahtechecho.hashnode.devSep 27 · 12 min read

Simulating Noise and Forgiveness: Why Pure Reciprocity Collapses When Communication Breaks

Opening question In Episodes 1 and 2, we proved that reciprocal trust can survive against raw exploitation and build an interconnected society. Under round-robin tournament conditions, Robert Axelrod'

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DSDipen Shahtechecho.hashnode.devSep 20 · 5 min read

Building a Multi-Agent Tournament Engine: Simulating Emergent Cooperation in Python

In Episode 1: Building the Laboratory, we constructed a deterministic, isolated foundation for repeated two-agent Prisoner's Dilemma interactions. We verified that when interactions repeat, reciprocal

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DSDipen Shahtechecho.hashnode.devAug 25 · 7 min read

I Built a Simulation to Explore Why Selfish Agents Cooperate

Building the domain foundation for an open-source simulation of cooperation, defection, and emergent behaviour. What happens when self-interested agents interact with each other again and again? Do t

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SSangharshanoob6t5.hashnode.devAug 24 · 3 min read

Deceptive AI Doesn’t Break the Rules. It Optimizes Around Them: with game theory

Everyone assumes deception in AI will look obvious — a system glitch, a sudden compute spike, or a glaring anomaly. That assumption is fundamentally wrong. The most effective deception doesn’t violate

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OOmnithiumomnithium.hashnode.devMay 31 · 9 min read

Multi-Agent Negotiation Protocols: How AI Agents Should Bargain for Resources

Static quotas are the death of agentic autonomy. If you're still using Kubernetes-style resource limits to manage your AI swarms, you're likely leaving 30% to 40% of your compute capacity on the table

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MMacaulay001forgottentheorieshashnodedev.hashnode.devMay 11 · 7 min read

I reran Axelrod's 1981 prisoner's dilemma tournament. Tit-for-tat still earns its reputation.

Part 49 of Forgotten Theories, a series re-testing old scientific claims with modern tools. Find the rest under the #forgotten-theories tag. In 1980, the political scientist Robert Axelrod sent letters to game theorists, economists, psychologists, a...

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BSBerkan Sesensesenai.hashnode.devMay 11 · 16 min read

Q-Learning for Games: Teaching an Agent Tic-Tac-Toe Through Self-Play

Tic-tac-toe is a solved game. Any competent adult can force a draw every time. But can an agent figure that out with zero human knowledge? Give two agents a blank board, a few simple rules about wins

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Ssuboptimal.aisuboptimal-ai.hashnode.devMar 15 · 2 min read

The Safety Eval That Must Work Is the One That Can't

The AI safety community has built an evaluation apparatus specifically to detect dangerous capabilities before deployment. The premise is clear: test the model before you ship it. If it can help synthesize pathogens or scheme against its operators, c...

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Trending tags this week

Multi-agent cooperation through in-context co-player inference (2026)

Simulating Natural Selection: Why Unconditional Kindness Dies, and How Clusters of Trust Conquer the World

Simulating Noise and Forgiveness: Why Pure Reciprocity Collapses When Communication Breaks

Building a Multi-Agent Tournament Engine: Simulating Emergent Cooperation in Python

I Built a Simulation to Explore Why Selfish Agents Cooperate

Deceptive AI Doesn’t Break the Rules. It Optimizes Around Them: with game theory

Multi-Agent Negotiation Protocols: How AI Agents Should Bargain for Resources

I reran Axelrod's 1981 prisoner's dilemma tournament. Tit-for-tat still earns its reputation.

Q-Learning for Games: Teaching an Agent Tic-Tac-Toe Through Self-Play

The Safety Eval That Must Work Is the One That Can't