'Rational agents' diaporamas de présentation

Automated negotiations: Agents interacting with other automated agents and with humans

Automated negotiations: Agents interacting with other automated agents and with humans. Sarit Kraus Department of Computer Science Bar-Ilan University University of Maryland sarit@cs.biu.ac.il. http://www.cs.biu.ac.il/~sarit/. Negotiations.

1.79k views • 162 slides

Automated negotiations: Agents interacting with other automated agents and with humans

Automated negotiations: Agents interacting with other automated agents and with humans. Sarit Kraus Department of Computer Science Bar-Ilan University University of Maryland sarit@cs.biu.ac.il. http://www.cs.biu.ac.il/~sarit/. Negotiations.

1.76k views • 162 slides

Part One: Evaluating Agent Architectures

THE OSCAR PROJECT Rational Cognition in OSCAR John L. Pollock Department of Philosophy University of Arizona Tucson, Arizona 85721 pollock@arizona.edu http://www.u.arizona.edu/~pollock. Part One: Evaluating Agent Architectures.

1.38k views • 121 slides

Agent Technology for e-Commerce

Agent Technology for e-Commerce. Chapter 2: Software Agents Maria Fasli http://cswww.essex.ac.uk/staff/mfasli/ATe-Commerce.htm. What is an agent?. A piece software (and/or hardware) that acts on behalf of the user

1.58k views • 99 slides

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence. Greg Grudic Modified by Longin Jan Latecki. Goal of the Course. A fundamental understanding of the basic concepts behind Artificial Intelligence What does it mean for a machine to exhibit AI?

712 views • 50 slides

Game, Bisimulation and Model Checking

Game, Bisimulation and Model Checking. Presented by Daniel Choi Provable Software Lab. KAIST. Game, Bisimulation and Model Checking. Content. Introduction Game Theory Classification of Games Notations Applications to Model Verification Bisimulation Model Checking Conclusion.

521 views • 41 slides

Introduction to Artificial Intelligence CSCI 3202 Fall 2007

570 views • 33 slides

Intelligent Agents

Intelligent Agents. Chapter 2. How do you design an intelligent agent?. I ntelligent agents perceive environment via sensors and act rationally on them with their effectors Discrete agents receive percepts one at a time, and map them to a sequence of discrete actions

559 views • 28 slides

Developing Countries in the Global Financial Crisis: A Minskyan Account

Developing Countries in the Global Financial Crisis: A Minskyan Account. Annina Kaltenbrunner Lecturer in the Economics of Globalisation & The International Economy Leeds University Business School . Motivation. Outline. Neoclassical Models of Financial (Foreign Exchange) Crisis

375 views • 25 slides

Babis Theodoulidis, Jennifer Wilby and David Diaz Centre for Service Research

Knowledge-Intensive Service Systems in the Financial Domain. Babis Theodoulidis, Jennifer Wilby and David Diaz Centre for Service Research The University of Manchester, England. Context. Financial Domain financial markets monitoring and surveillance Applying Service System Modelling.

351 views • 24 slides

Trust Based Mechanism Design

Trust Based Mechanism Design. Use MD. Motivation. Fuse the fields of trust-modelling and mechanism design Trust measures how good an interaction partner is Mechanism design concerns itself with the allocation of resources. . i. i. p. p. r. r. c. c. e. e. Y. X.

370 views • 23 slides

Artificial Intelligence

486 views • 21 slides

Reinforcement Learning

Reinforcement Learning. Instructor: Max Welling. Source: T. Mitchell, Machine Learning, Chapter 13. Overview. Supervised Learning: Immediate feedback (labels provided for every input). Unsupervised Learning: No feedback (no labels provided).

334 views • 18 slides

Immanuel Kant

Immanuel Kant. categorical imperative. how do we determine morality?. morality is derived from duty moral principles are intrinsically valid moral principles must be obeyed in all circumstances all moral obligations must be tested through the categorical imperative .

487 views • 17 slides

Philosophy 219

280 views • 16 slides

Artificial Intelligence

Artificial Intelligence. Stuart Russell & Peter Norvig Rewritten in PowerPoint format by Adila Alfa Krisnadhi (for Fasilkom UI use only). CHAPTER 1. Artificial Intelligence. Outline. Course overview What is AI? A brief history The state of the art. Course Overview. Intelligence agents

607 views • 15 slides

22C:145 ARTIFICIAL INTELLIGENCE

22C:145 ARTIFICIAL INTELLIGENCE. Introduction: Chapter 1. Outline. Course overview What is AI? A brief history The state of the art. Course overview. Introduction and Agents (chapters 1,2) Search (chapters 3,4,5,6) Logic (chapters 7,8,9) Planning (chapters 10,11)

263 views • 14 slides

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE. Introduction: Chapter 1. Introduction to AI. Course home page: http://www2.mta.ac.il/~gideon/ai.html Textbook: S. Russell and P. Norvig Artificial Intelligence: A Modern Approach Prentice Hall, 2003, Lecturer: Gideon Dror gideon@mta.ac.il.

345 views • 13 slides

ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE. Introduction: Chapter 1. Outline. Course overview What is AI? A brief history The state of the art. Course overview. Introduction and Agents (chapters 1,2) Search (chapters 3,4,5,6) Logic (chapters 7,8,9) Uncertainty (chapters 13,14) Learning (chapters 18)

254 views • 13 slides

Introduction

211 views • 11 slides