This document summarizes a presentation on multi-agent systems and machine learning. It discusses Deep Blue defeating Kasparov in 1997, layered learning being applied to simulated robot soccer, and examples of multi-agent systems like Bitcoin mining pools, automated negotiation for a car dealer, and Kiva robots in Amazon warehouses. It also lists some relevant papers on topics like autonomous intersection management, cooperative driving using ant colony systems, and books on multi-agent systems, machine learning for agents, and intelligent agent software engineering.

1. Prof. Mohammad-R.Akbarzadeh-T
Ferdowsi University of Mashhad
A Presentation by:
• Hosein Mohebbi
• M.-Sajad Abvisani

2.  Deep Blue vs Kasparov in 1997
 Freestyle Chess Tournament in 2005.Who won?
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3.  We live in a multi-agent world
 Robustness
 Scalability
 Reusability of constituents
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4.  A Goal of AI and Robotics:
Robust and fully autonomous agent in the real world
 Sense,decide and action
 Improve from experience (Machine learning)
 Interact with other agents (Multiagent system)
 MAS+ML in RoboCup
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5.  Layered Learning
 Machine learning: exploit data to train
 Learning in one layer feeds into next layer
 First applied in simulated robot soccer [Stone & Veloso, 1997]
Layered Learning in Multi-Agent Systems Peter Stone
 Ad hoc teamwork
 PLASTIC-Policy Algorithm
 Samuel Barret, Peter Stone
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6.  Bitcoin Mining Pools: A Cooperative Game Theoretic
Analysis[Here]
 Multi-issue automated negotiation with different strategies for a
car dealer business scenario[Here]
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7.  A learning Multi-Agent system that mines the Web to advise
students[Here]
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8.  Kiva Robots in amazon warehouse[Here]
 Agent based Control for Microgrids[Here]
 Influence in Classification via Cooperative Game Theory[Here]
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9. GRASP
 Supervised by Prof. Vijay Kumar
 Creation building map
 Precision Agriculture
 Search and Rescue
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10.  Some papers
 A Multiagent Approach to Autonomous Intersection Management[Here]
 A Platform for Evaluating Autonomous Intersection Management Policies[Here]
 Cooperative driving: an ant colony system for autonomous intersection
management[Here]
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11.  Society of Mind (1986)
- Marvin Minsky
 Machine Learning for Agents and Multi-Agent Systems
- Daniel Kudenko (University ofYork, UK),Dimitar
Kazakov (University ofYork, UK) and Eduardo Alonso
(City University, UK)
 A Concise Introduction to Multiagent Systems and
Distributed Artificial Intelligence (Synthesis Lectures on
Artificial Intelligence and Machine Learning)
- Nikos Vlassis
 Intelligent Agent Software Engineering
- Valentina Plekhanova (University of Sunderland,UK)
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