Showing papers on "Swarm intelligence published in 1993"
01 Jan 1993
TL;DR: It is argued that the latter two type of unpredictability, when exhibited by systems capable of producing order, can result in a non-trivial, different form of intelligent behavior (Swarm Intelligence).
Abstract: Cellular Robotic Systems are capable of ’intelligent* behavior. The meaning of this intelligence is analyzed in the paper. We define robot intelligence and robot system intelligence in terms of unpredictability of improbable behavior. The concept of unpredictability is analyzed in relation to (1) statistical unpredictability, (2) inaccessibility, (3) undecidability, (4) intractability, and (5) non-representability. We argue that the latter two type of unpredictability, when exhibited by systems capable of producing order, can result in a non-trivial, different form of intelligent behavior (Swarm Intelligence). Engineering problems related to Swarm Intelligence are mentioned in relation to Cellular Robotic Systems which consist of collections of autonomous, non-synchronized, non-intelligent robots cooperating to achieve global tasks.
942 citations
26 Jul 1993
TL;DR: The authors find that the multirobot system can generate a communication chain to be used for searching the route to their goal and demonstrate the Swarm intelligence of the multirobots system in the case of route-searching and the effects of robot population on the swarm intelligence.
Abstract: Deals with a computer simulation study of the cooperative behavior of multirobots for investigating the characteristics of swarm intelligence generated by multirobot system. Individual robots in the multirobot system are equipped with low-level intelligence to detect obstacles, steer, proceed, and undertake a hello-call communication. This paper first clarifies the characteristics of multirobot behavior under free traveling without hello-call communication and then the characteristics of hello-call communication with respect to message transmission power over whole member robots. Introducing a marker robot to the multi-robot system, the authors find that the multirobot system can generate a communication chain to be used for searching the route to their goal. They demonstrate the swarm intelligence of the multirobots system in the case of route-searching and show the effects of robot population on the swarm intelligence.
18 citations
01 Jan 1993
TL;DR: The characteristics of mulcobot behaviory@cr free traveling without P.I/ello-S%fllHmmunication and the effects of robot population on the swarm intelligence are clarified.
Abstract: %Q-l7 This paper deals withAcomputcr simulation study of,fooperative behavior of multi robots for investigating the characteristics of swarm intelli ence generated by muwbot system. Individual rolevel intelligence to detect obstacle steer, &proceed, and'@ undertake a ,dllo-~Il Comnlunication. This paper first clarifies the characteristics of mulcobot behaviory@cr free traveling without P.I/ello-S%fllHmmunication and then the characteristics &llo&I1 Mmmunication with respect to mgssage transmiss' n power over whole me ber ro gts Introducingd'marker robot to the multi-robot system, Wind that the multi robot system can !+WAXSL --qxh&& generate a com n chain to be used for scarching the route to their'goa emonstrate the swarm intelligence of the m&@bots system in case of route-searching t&~,-. and show the effects of robot population on the swarm intelligence. n t-. * k bots -of the mu arc equipped with low
1 citations