multi-path is favorite alternative for sensor networks, as it provides an easy mechanism to distributetraffic, as well as considerate fault tolerance. in this paper, a new clustering based multi path routingprotocol namely ecrr (energy efficient cluster based routing algorithm for improving reliability) isproposed, which is a new routing algorithm and guarantees the achievement to required qos ...

a new multi-stage fuzzy (msf) controller based on multi-objective harmony search algorithm (mohsa) is proposed in this paper to solve the load frequency control (lfc) problem of power systems in deregulated environment. lfc problem are caused by load perturbations, which continuously disturb the normal operation of power system. the objectives of lfc are to mini small size the transient deviati...

Agent-oriented methodologies and related modeling techniques have become a priority for the development of large scale agent-based systems. Several methodologies have been proposed for the development of multiagent systems (MAS). For the most part, these methodologies remain incomplete: they are either an extension of object-oriented methodologies or an extension of knowledge-based methodologie...

Agent-based systems that are composed of simple locally interacting agents but which demonstrate complex group behavior o er several advantages over traditional multi-agent systems. A well-designed complex agent-based systems is an e cient, robust, adaptive and stable system. It has very low communication and computational requirements, meaning that there are virtually no constraints on the sys...

The importance of collaboration in a supply chain has led several scholars to suggest diverse approaches. Questions still remain concerning the best way of dealing with collaboration and conflicts under demand and supply uncertainties. This research proposes a model based on case-based reasoning and multi-agents for supply chain collaboration and information sharing (MACBR-SCM). The MACBR-SCM i...

Although they flow from a common source, the uses of multi-agent systems (or “agent-based computational systems” — ACE) vary between the social sciences and computer science. The distinction can be broadly summarised as analysis versus synthesis, or explanation versus design. I compare and contrast these uses, and discuss sufficiency and necessity in simulations in general and in multi-agent sy...

The complexity associated to Humanitarian Demining becomes very high due to its broad set of activities, which beyond the already complex of landmine removal, includes other socio-economic supporting activities. Hence, more complex computer based supporting systems are required. The main goal of this article is to describe potential applications of multi-agent systems to the Humanitarian Demini...

Using a knowledge-based approach we adjust a knowledgebased algorithm for multi-agent communication for the process of cooperative problem solving (CPS). The knowledge-based algorithm for multiagent communication [1] solves the sequence transmission problem from one agent to a group of agents, but does not fully comply with the dialogue communication involved during a CPS process. A property of...

In many knowledge-based systems the used knowledge is distributed among several knowledge sources. Knowledge maintenance of such systems has several challenges to be met. This paper gives a short overview of a maintenance approach using so-called Case Factories to maintain knowledge sources and considering the dependencies between these sources. Furthermore we present a concept how our maintena...

This chapter introduces an agent-based support model for group emotion, used by ambient systems that support teams in their emotion dynamics. Using model-based reasoning, an ambient agent analyzes the team’s emotion level for present and future time points. In case the team’s emotion level is found to become deficient, the ambient agent provides support to the team, for example, by proposing th...