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Keynote Speakers:

• Ronald Arkin, Georgia Institute of Technology, USA
  Biologically inspired robot behavior

• Eric Bonabeau, Icosystem, USA & FR
  Swarm Intelligence

• Guy Theraulaz, Universite Paul Sabatier, FR
  Aggregation dynamics, pattern formation and collective decision-making in pre-social and social insects

• C. Anderson; Icosystem, USA.
  Linking micro to macro-level behavior in multiagent systems: a preliminary analysis of the aggressor-defender game

• T. Balch, A. Feldman and Z. Khan; Georgia Institute of Technolgy, USA.
  A large scale study of honey bee behavior using computer vision and behavior recognition

• Sam Beshers; University of Illinois, USA.
  Undertaking in the leaf-cutting ant Atta colombica and the behavioral design of social insect colonies.

• Tim Brown; University of Utah, USA.
  Modeling communication, task allocation and self-organization in new world army ant swarms

• J. Buhl, J. Gautrais, A. Berriau, P. Kuntz, J.L. Deneubourg & G. Theraulaz; Universite Paul Sabatier, FR, Ecole Polytechnique de L'Universite de Nantes, FR, and Universite Libre de Brouxelles, BE.
  How do scale-free topologies emerge in growing ant galleries networks?

• I. Chase, A. Deshmukh, N. Krothapalli; SUNY Stony Brook, USA, University of Massachusets, Amherst, USA.
  Discrete simulation of foraging decisions in ant colonies

• A. Dornhaus & N. Franks; University of Bristol, UK.
  Rules of decision making: trade offs in collective house hunting

• C. Jones & M. Mataric; University of Southern California, USA.
  Towards a multi-robot coordination formalism

• S. Joshi & J. Schank; UC Davis, USA
  Of rats and robots: a new biorobotics study of social behavior in Norway rat pups

• F. Kluegl & C. Triebig; Univeritat Wurzburg, DE.
  Studying task allocation mechanisms of social insects for engineering multi-agent systems

• K. Lerman & A. Galstyan; ISI/University of Southern California, USA.
  A model for adaptation in collaborative multi-agent systems

• L. Li, A. Martinoli and Y. Abu-Mostafa; California Institute of Technology, USA.
  Learning and measuring specialization in collaborative swarm systems

• D. Merkle & M. Middendorf; University of Leipzig, DE.
  Dynamic polyethism in social insect studies-a simulation study

• A. Muhammad & M. Egerstedt, Georgia Institute of Technology, USA.
  Topological structures in multiple robot formations

• S. Nakrani & C. Tovey; University of Oxford, UK, Georgia Institute of Technolgy, USA.
  On honey bees and dynamic allocation in an internet server colony

• D. Palmer, M. Kirschenbaum, R. Quinn; John Carroll University, USA, and Case Western Reserve University, USA.
  Development of collective control architecutures for small quadruped robots based on human swarming behavior

• L. Panait, S. Luke; George Mason University, USA
  Evolving Foraging Behaviors

• S. Pratt; Princeton University, USA.
  Detection of a nestmate quorum via encounter rates in the ant Leptothorax albipennis [will not be submitting paper]

• Z. Reznikova & B. Ryabko; Institute for Animal Systematics and Ecology, RU, Siberian State University of Telecommunication and Computer Science, RU.
  In the shadow of a binary tree: ants and bits

• S. Scholes, M. Wilsion, A. Sendova-Franks, C. Melhuish; University of the West of England, UK.
  Evolution versus engineering: the collective intelligence of sorting

• T. Schmickl & K. Crailshaim; Karl-Franzens-Universitat Graz, DE.
  Simulating the cost of dynamic and decentralised foraging decisions

• A. Umre; University of Sussex, UK.
  Cost/benefit of cooperation: information dissemination in distributed systems

• P. Ulam and T. Balch; Georgia Institute of Technolgy, USA.
  Niche selection for foraging tasks in multi-robot teams using reinforcement learning