How natural selection can promote cooperative or altruistic behavior is a fundamental question in biological and social sciences. One of the persuasive mechanisms is "indirect reciprocity," working through reputation: cooperative behavior can prevail because the behavior builds the donor's good reputation and then s/he receives some reciprocal benefits from someone else in the community. Howeve...

In order to design a successful human-agent-interaction, knowledge about the effects of a virtual agent’s behavior is important. Therefore, the presented study aims to investigate the effect of different nonverbal behavior on the agent’s person perception with a focus on dominance and cooperativity. An online study with 190 participants was conducted to evaluate the effect of different nonverba...

Recently there has been much criticism in the AI community that knowledge based systems are not situated. We argue that trying to provide for situatedness in a conventional system wi l l lead to the so called model explosion cycle and that for most application environments adaptivity is needed for situated behavior. Cooperative systems are a solution to the model explosion cycle where adaptivit...

MOTIVATION All cell components exhibit intracellular noise on account of random births and deaths of individual molecules, and extracellular noise because of environment perturbations. Gene regulation in particular, is an inherently noisy process with transcriptional control, alternative splicing, translation, diffusion and chemical modification reactions, all of which involve stochastic fluctu...

Coordination with an unknown human teammate is a notable challenge for cooperative agents. Behavior of human players in games with cooperating AI agents is often sub-optimal and inconsistent leading to choreographed and limited cooperative scenarios in games. This paper considers the difficulty of cooperating with a teammate whose goal and corresponding behavior change periodically. Previous wo...

This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behavior, we propose a controlling strategy of introns, which are non-executed code segments dependent upon the situation. The traditional approach to removing introns was able to cope with only a part of syntactically defi...

When humans are addressing multiple robots with informative speech acts (Clark & Carlson 1982), their cognitive resources are shared between all the participating robot agents. For each moment, the user’s behavior is not only determined by the actions of the robot that they are directly gazing at, but also shaped by the behaviors from all the other robots in the shared environment. We define co...

This paper focuses on the formal assessment of the properties of cooperation enforcement mechanisms used to detect and prevent selfish behavior of nodes forming a mobile ad hoc network. In the first part, we demonstrate the requirement for a cooperation enforcement mechanism using cooperative game theory that allows us to determine a lower bound on the size of coalitions of cooperating nodes. I...

In this research, the evolutionary algorithm is applied to behavior learning of an individual agent in the multi-agent robot system. Each agent robot is given two behavior duties both collision avoidance from the other agent and target (food point) reaching for recovering self-energy. In this paper, we carried out the evolutionary simulation of the cooperative behavior creating an environmental...

'When' and 'how' the dentist intervenes have repercussions on children's physical and emotional patterns. The objective of the present study was to conduct a longitudinal behavioral analysis during dental care of babies aged 0 to 3 years. A total of 216 patients seen at the Baby Clinic of the School of Dentistry at Araçatuba, São Paulo State University (UNESP), were selected. The selection crit...