By Christopher Rouff, Michael Hinchey, James Rash, Walt Truszkowski, Diana F. Gordon-Spears
The box of agent & multi-agent structures is experiencing great development when that of formal tools has additionally blossomed. The FAABS (Formal techniques to Agent-Based platforms) workshops, merging the troubles of the 2 fields, have been hence well timed. This publication has arisen from the overpowering reaction to FAABS ’00, ’02 & ’04 and all chapters are up-to-date or characterize new examine, & are designed to supply a closer therapy of the subject. Examples of ways others have utilized formal the right way to agent-based structures are incorporated, plus formal process instruments & innovations that readers can practice to their very own systems.
Agent expertise from a proper viewpoint offers an in-depth view of the foremost matters relating to agent expertise from a proper standpoint. As it is a rather new interdisciplinary box, there's huge, immense room for additional development and this booklet not just creates an preliminary starting place, yet issues to the gaps; indicating open difficulties to be addressed through destiny researchers, scholars & practitioners.
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Extra info for Agent Technology from a Formal Perspective
The use of natural language for the speciﬁcation of system requirements tends to result in ambiguity and requirements that may be mutually exclusive. Formal methods have evolved as an attempt to overcome such problems, by employing discrete mathematics to describe the function and architecture of a hardware or software system, and various forms of logic to reason about requirements, their interactions, and validity. The term formal methods is itself misleading; it originates from formal logic but is now used in computing to refer to a plethora of mathematically based activities.
Wooldridge, M. Reasoning About Rational Agents. The MIT Press, Cambridge, MA. 2000. 5. Wooldridge, M. An Introduction to Multiagent Systems. John Wiley and Sons, Ltd. 2002. 2 Introduction to Formal Methods Michael Hinchey, Jonathan P. Bowen, and Christopher A. 1 Introduction Computers do not make mistakes, or so we are told. However, computer software is written by, and hardware systems are designed and assembled by, humans, who certainly do make mistakes. Errors in a computer system may be the result of misunderstood or contradictory requirements, unfamiliarity with the problem, or simply human error during design or coding of the system.
A strength of I/O Automata is that inputs from the environment can not be blocked. This enforces an environment-driven model of the system. Additional strengths are that IOA can model multiple levels of abstractions of a system, from high-level speciﬁcations to detailed algorithms, they are executable or can be simulated, and are highly nondeterministic. It is a calculus, so I/O automata can be used to generate code, and IOA has constructs for proving correctness of a speciﬁcation. 2 Model-Oriented Approaches Z Z is based on set theory and is used to describe the behavior of sequential processes.