Center for Complex Systems Studies

Events





Toward Human-level AI

A lecture by John Laird
Computer Science and Engineering Division
Electrical Engineering and Computer Science Department
University of Michigan, Ann Arbor, MI

7.00pm, Tuesday 16th, November, 2004

Old-Upton 408

Abstract

Although the creation of integrated, human-level AI has not been a major goal of the field during the last 20 years, some progress is being made. In this talk I will give an overview of extensions we have added to the Soar architecture that give it significant new capabilities: episodic memory, reinforcement learning, and models of emotions and feelings. Episodic memory has largely been ignored by AI and cognitive science, but plays a key role in our ability to remember and use our knowledge of prior events. Reinforcement learning has been extensively studied in Machine Learning, but not within the context of large knowledge base systems with complex state structures. Our research on emotions and feelings explores how affective reasoning intermixes with symbolic cognitive reasoning. I will review the design of Soar, and describe how these new capabilities are integrated with it, as well as present preliminary results of using these capabilities on simple tasks.

Contact person: Péter Érdi (tel: 337-5720)





Danil Prokhorov
of
Ford Research and Advanced Engineering

speaks on

Neural Network Research at Ford Motor Company

In Dr. Érdi's Cognitive Science class at 1:15pm, Monday, 8th November, 2004, Old-Upton 408
Visitors are welcome

With an informal discussion on

Industrial Research: Experience from Ford Research and Advanced Engineering

from 4.10pm, Old-Upton 207






Agents of Mind

A lecture by James Houk
Dept. Physiology
The Feinberg School of Medicine
Northwestern University, Chicago, IL

1.15pm, Wednesday 20th, October, 2004

Old-Upton 408

Abstract

The higher order circuitry of the brain is comprised of a large-scale network of cerebral cortical areas that are individually regulated by loops through subcortical structures, particularly through the basal ganglia and cerebellum. These subcortical loops have powerful computational architectures. Using, as an example, the relatively well-understood processing that occurs in the cortical / basal ganglionic / cerebellar distributed processing module that generates voluntary motor commands, I postulate that a network of analogous agents is an appropriate framework for exploring the dynamics of the mind.

Contact person: Péter Érdi (tel: 337-5720)





Simulation of Biological and Social Collective Phenomena: Crowd control

An LAC lecture by Tamás Vicsek
Dept. of Biological Physics
Eötvös Loránd University
Budapest, Hungary

7pm., Tuesday 12th October, 2004
Dewing Hall, Room 103

Abstract

Can we reliably predict and quantitatively describe how large groups of people behave? Here we discuss an emerging approach to this problem which is based on the quantitative methods of statistical physics. We demonstrate that in cases when the interactions between the members of a group are relatively well defined (e.g, pedestrian traffic, synchronization, panic, etc) the corresponding models reproduce relevant aspects of the observed phenomena.

In particular, people moving in the same environment typically develop specific patterns of collective motion including the formation of lanes, flocking or jamming at bottlenecks. We simulate such phenomena assuming realistic interactions between particles representing humans. The two specific cases to be discussed in more detail are waves produced by crowds at large sporting events and the main features of escape panic under various conditions. Our models allow the prediction of crowd behaviour even in cases when experimental methods are obviously not applicable and, thus, are expected to be useful in assessing the level of security in situations involving large groups of excited people.

The above results have been obtained in collaboration with A-L. Barabási, A. Czirók, I. Farkas, Z. Neda and D. Helbing

Contact person: Péter Érdi (tel: 337-5720)





Henry R. Luce Lectures on
NETWORKS, LAWS, ACTORS

May 18th 2004, (Tuesday)
Olds-Upton 207

Program:
4.10 - 4.15 Péter Érdi: Introduction
4.15 - 5.05 Katherine J. Strandburg (Assistant Professor of Law, DePaul College of Law): Law and the Theory of Networks: Is There A Link?

Traditionally, United States law has focused its attention on individuals and their relationships with one another and the state. It has sought to provide incentives for socially beneficial behavior by individuals (treating even corporations as "persons"), to resolve disputes between individuals, and to regulate the behavior of individuals. While the last century brought increased legal recognition of the claims of individual members of large social groups defined by race, gender, and religion, it is only recently that United States legal scholarship has begun to focus on the important role that communities and more informal social networks play in determining and regulating social behavior. This talk will explore the potential contributions that the theory of networks might make to the analysis of law. While the talk will be more of an invitation to cooperative effort than a presentation of results, I will present some preliminary results of an application of statistical network theory to the patent system.

5.05 - 5.20 Coffee Break
5.20 - 6.10 Mark S. Mizruchi (Professor of Sociology and Business Administration, University of Michigan): Network Structure, Actor Centrality, and Power: A Model and Simulation

For many years, network analysts viewed positional centrality as a source of social power. Laboratory studies of exchange networks have called the centrality-power link into question, however: under zero-sum exchange conditions, the ability of certain actors to directly exploit others has been found to account for power independent of actors' centrality. But most observers believe that in non-zero-sum communication networks, centrality should positively affect power. In this study, conducted with Blyden Potts, I examine the effect of centrality on power in a communication network involving group voting on political issues. Using a model in which actors' votes are determined by the strength of their initial positions and the social pressures to which they are subjected, we conduct computer simulations to examine the extent to which actors in various network positions achieve favorable political outcomes. The findings indicate that the link between centrality and power is highly contingent on the structure of the network. In networks with a central actor and an odd number of subgroups, central actors fail to dominate. In fact, in these networks, when peripheral actors are able to directly influence one another, the central actor becomes the least powerful in the network. In networks with a central actor and an even number of subgroups, however, the central actor dominates even in situations with connected peripherals. The highly contingent effect of centrality on power accords with the findings of exchange theorists who have studied power under zero-sum conditions. This raises questions about the nature of the distinction between communication and exchange networks.

Refreshments will be served from 3.45pm
Contact person: Péter Érdi (tel: 337-5720)






Diversity in Complex Adaptive Social Systems

An LAC lecture by Scott E. Page
Center for the Study of Complex Systems,
Department of Economics,
Department of Political Science
at the University of Michigan
and
Santa Fe Institute

February 13th 2004, 11.50 a.m. (Friday)
103 Dewing

Complex adaptive social systems consist of heterogenous agents with mental models who interact in space and time. In that human agents can adapt social systems differ fundamentally from the fixed rule based systems described by physicists such as Wolfram or Bak. Yet many of the phenomena of fixed rule complex systems such as emergence and self organized criticality also appear in complex adaptive social systems. Further, social systems contain agents whose behavior is influenced by their diverse life experiences. This diversity can be beneficial, it can be the engine of progress, it can also be harmful.

Contact person: Péter Érdi (tel: 337-5720)






Dennett's Freedom Evolves

A lecture by George Kampis
Department of History and Philosophy of Science, Eötvös University, Budapest, Hungary

October 20th 2003, 8 p.m. (Monday)
Olds-Upton 207

Contact person: Péter Érdi (tel: 337-5720)





Bio-inspired Computing

A lecture by Robert Kozma
Institute for Intelligent Systems, The University of Memphis, Memphis, TN

October 13th 2003, 8 p.m. (Monday)
Olds-Upton 207

The concept of brain like computing has been powerful driving force in scientific thought from the very days of the invention of modern-day digital computers in the 40s. One of the key developers of the digital computers John Von Neumann, whos name has been associated with the development of computers having the so-called Von-Neumann architecture, has clearly indicated the ways computer designs could and should learn from brain structures and operation [see: J. Von Neumann, The computer and the brain, Yale, 1958]. Due to the explosive growth of digital computer technology, the original motivation of brain-like computing has been all but forgotten for the sake of the development of more-and-more powerful universal computing machines. By approaching the end of the 20th century, it became clear that certain practically important tasks can not be solved simply using brute force computing power. This recognition has lead to a proliferation of biologically inspired concepts of computing in the past decade. This talk will address some of the milestones in brain-like computing, including the first computer designs, various connectionist and artificial intelligence approaches, and new generations of connectionist machines.

Contact person: Péter Érdi (tel: 337-5720)






The Concept of Knowledge for Science and Technology

An LAC lecture by George Kampis
Department of History and Philosophy of Science, Eötvös University, Budapest, Hungary

October 6th 2003, 8 p.m. (Monday)
Dewing Hall Room 103

The basic idea of this lecture, in one word, is causality. I will argue that human knowledge is, first of all, causal: it refers to potential actions or manipulations carried out by an agent, be it human or artificial. This concept of knowledge is not new it has its origin in Aristotle, and in modern form, in Hacking and Cartwright. Yet it is significantly at odds with both the standard scientific model and the standard humanities model. Both assume, mostly without reflection, that knowledge is essentially something that can be expressed in language, text, or description. In other words, the usual belief is that knowledge represents: in other words, that thoughts and scientific theories and other valid constructs of the mind are like maps that can substitute for the territory. The causal picture of knowledge rejects the representational assumption and replaces it with a covariance assumption. The covariance assumption maintains that components of knowledge are covariant with, or, in philosophical jargon, supervenient on the causal elements of nature, and further, that the causal elements are irreducible to knowledge, and vice versa. We disscuss the animal (i.e. evolutionary) roots and the technological implications of this, essentially materialistis, conception.

Contact person: Péter Érdi (tel: 337-5720)






First Anniversary of the Center for Complex System Studies at Kalamazoo College

We shall celebrate the first anniversary of the opening of the Center for Complex System Studies at Kalamazoo College

May 14th 2003 (Wednesday)
Olds-Upton 207

Program:
4.10 - 4.15 Péter Érdi: Introduction
4.15 - 5.05 Carl Simon (Director, Center for the Study of Complex Systems, Economics Department, Mathematics Department; University of Michigan http://www.math.lsa.umich.edu/research/profiles/simon-profile.shtml): Complex Systems Research and Education at the University of Michigan
5.05 - 5.20 Coffee Break and BIRTHDAY CAKE
5.20 - 6.10 John Milton, MD, PhD (Director, Complex Systems Laboratory at the Neurology Department The University of Chicago http://nitace.bsd.uchicago.edu/index.html): Balance Control at the Edge of Instability
6.10 - 6.40 Informal discussions
Contact person: Péter Érdi (tel: 337-5720)






Chaos Theory for the Understanding of the Brain Dynamics
Lecture by Ichiro Tsuda

Mathematics Department at the Hokkaido University in Sapporao, Japan

February 24th 2003, 8 p.m.

Contact person: Péter Érdi (tel: 337-5720)






Great Lakes College Associations
Complex Systems Studies Interdisciplinary Meeting

February 21-22, 2003

A new interdisciplinary approach to the study of complex systems is emerging with applications to the natural and social sciences. Examples of such research include social networks, neuroscience, artifical life and intelligence, self organized criticality, new economy, game theory, biocomplexity, and agent based simulations of social systems. At the research and graduate level there exist a number of programs such as those at the Sante Fe Institute, the Center for the Study of Complex Systems at the University of Michigan, and the New England Complex Systems Institute. Very little exists at the undergraduate level. The purposes of this meeting are to share our knowledge about complex systems, to discuss ways of incorporating complex systems studies into already existing curricula, to generate ideas for creating new curricula, and to establish connections across disciplinary lines between faculty at the GLCA member schools.

For more information click here
Contact persons: Jan Tobochnik (tel: 337-7098)
Péter Érdi (tel: 337-5720)





Events of 2001 and 2002.



bognor@kzoo.edu
Last update 19.10.2003.