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Using FLBC and Event Semantics for Modeling and Reasoning about Contracts

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Title: Using FLBC and Event Semantics for Modeling and Reasoning about Contracts


1
Using FLBC and Event Semantics for Modeling and
Reasoning about Contracts
  • Yao-Hua Tan
  • Walter Thoen

2
Objectives
  • Develop a First-Order logical formalism to
    represent the content of business contracts
  • (e.g. Kimbrough, Lee, Moore, Sergot)
  • This formalism can be used to develop
    applications that
  • automatically negotiate and process contracts
  • give on-line support to human negotiators
  • MeMo
  • diCarta

3
Why FLBC Event Semantics?
  • Five perspectives on modeling contracts
  • Data perspective agreements are seen as a
    collection of data elements, such as addresses,
    delivery dates, production specifications and
    prices, which have to be stored in data bases,
    communicated using EDI and processed using ERP
    back office systems
  • Document perspective agreements are seen as
    documents that should be managed during their
    life cycle. The documents have be adequately
    created, stored, retrieved, updated etc.
  • Procedural perspective agreements are seen as
    specifying the intended behavior of the parties
    to the agreement.
  • Normative perspective agreements are seen as a
    collection of norms that regulate the behavior of
    the parties to the agreement.
  • Communication perspective agreements are seen
    as a set of speech acts where the parties to the
    agreement promise, assert and declare the
    propositions the make up the agreement

4
Why FLBC Event Semantics?
  • FLBC Event semantics
  • Data perspective
  • Communicative perspective
  • Procedural perspective
  • Normative perspective

5
Event Semantics (Kimbrough)
  • ?e (promise(e) ? speaker(e, Party) ? hearer(e,
    TheOtherParty) ?
  • (Kept(e) ? ?e (deliver(e) ? agent(e, Party) ?
    theme(e, Products) ? sake(e, e))
  • This expression is read as There exists a
    promising event (speech act) with the speaker
    being Party and the hearer being TheOtherParty
    and the promising event is kept if and only if
    there exists another event, which is a delivery
    event, the agent of that delivery event is Party,
    what was delivered is Products and the delivery
    event occurred for the sake of the promising
    event

6
ICC Model contract
  • We modeled the ICC model Distributorship Contract
    as part of the MeMo research project
  • Several refinements of Kimbroughs event
    semantics are needed to model the ICC Model
    contract, e.g.
  • Subcontracting
  • Conditional promises
  • Fundamental Breach
  • Remedies Preferences
  • Granting of Rights

7
Subcontracting
  • Article 8.107 (ex art. 3.107) Performance
    Entrusted to Another
  • A party who entrusts performance of the
    contract to another person remains responsible
    for performance.
  • (source THE PRINCIPLES OF EUROPEAN CONTRACT
    LAW 1998
  • If we assume that a transporter will actually
    deliver the Products on behalf of the supplier,
    then we could represent this as
  • ?e (promise(e) ? speaker(e, Supplier) ?
    hearer(e, Buyer) ? (Kept(e) ? ?e (deliver(e) ?
    agent(e, Transporter) ? theme(e, Products) ?
    sake(e, e) ? influenced(Transporter, Supplier)

8
Subcontracting
  • ?e (promise(e) ? speaker(e, Supplier) ?
    hearer(e, Buyer) ?
  • (Kept(e) ?
  • ?e (deliver(e) ? agent(e, Transporter) ?
    theme(e, Products) ? sake(e, e) ?
  • ?e (promise(e) ? speaker(e, Transporter) ?
    hearer(e, Supplier) ? (Kept(e) ?
  • ?e (deliver(e) ? agent(e, Transporter)
    ? theme(e, Products) ? sake(e, e) ?
    sake(e, e)))
  • Embedded speech act to represent subcontract
  • e and e describe same type of event
  • sake(e, e) used to link contracts together

9
Conditional promises
  • Post-payment
  • ?e (promise(e) ? speaker(e, Buyer) ? hearer(e,
    Supplier) ? (Kept(e) ?
  • ?e (deliver(e) ? agent(e, Supplier) ?
    theme(e, Products) ? sake(e, e) ? cul(e, t1))
  • ? no implication used!
  • ?e (pay(e) ? agent(e, Buyer) ? theme(e,
    Money) ?
  • sake(e, e) ? cul(e, t2) ? t2 lt (t1 30)))

10
Fundamental Breach
  • Article 8.103 - Fundamental Non-Performance
  • A non-performance of an obligation is
    fundamental to the contract if
  • strict compliance with the obligation is of the
    essence of the contract or
  • the non-performance substantially deprives the
    aggrieved party of what it was entitled to expect
    under the contract, unless the other party did
    not foresee and could not reasonably have
    foreseen that result or
  • the non-performance is intentional and gives the
    aggrieved party reason to believe that it cannot
    rely on the other party's future performance.

11
Fundamental Breach
  • Refine kept predicate and use kept_fundamental
    and kept_nonfundamental to model the distinction,
    for example
  • ?e (promise(e) ? speaker(e, Party) ? hearer(e,
    TheOtherParty) ? (kept_fundamental(e) ?
  • ?e (deliver(e) ? agent(e, Party) ? theme(e,
    Products) ? sake(e, e))
  • Note that the contract should list the clauses
    that are fundamental explicitly.
  • The distinction is made to infer that if
    kept_fundamental is false, then that is a
    fundamental breach of contract, which empowers
    the other party to declare the contract avoided

12
Remedies Preference
  • Most contracts contain remedies for violations
    that occur frequently. For example
  • Late delivery or non-delivery
  • Non-conforming goods
  • Late payment
  • The buyer has to pay an 1 interest charge if
    payment is not made within 30 days after delivery

13
Remedies Preference
  • ?e (promise(e) ? speaker(e, Buyer) ? hearer(e,
    Supplier) ?
  • ( ( kept_fundamental(e, high) ?
  • ( ?e ( deliver(e) ? agent(e, Supplier) ?
    theme(e, Products) ? sake(e, e) ? cul(e, t1)
    ) ) ?
  • ( ?e ( pay(e) ? agent(e, Buyer) ?
    theme(e, Money) ? sake(e, e) ?
  • cul(e, t2) ? t2 lt (t1 30) ) ) )
  • ?
  • ( kept_fundamental(e, low) ?
  • ( ?e ( deliver(e) ? agent(e,
    Supplier) ? theme(e, Products) ? sake(e, e)
    ? cul(e, t3) ) ) ?
  • ( ?e ( pay(e) ? agent(e, Buyer) ?
    theme(e, MoneyPlusPenalty) ? sake(e, e) ?
    cul(e, t4) ? t4 gt (t3 30) ) ) ) )

14
Planning versus Monitoring
  • Regarding the preference we have to make a
    distinction between Planning and Monitoring.
  • By planning we mean that an agent would use the
    contract representation to optimize her behavior
    in the planning stage before the action is
    executed
  • Planning is a separate decision making process
  • It cannot be automatically inferred from the
    event semantics representation
  • In the case of an artificial intelligent agent
    this decision making process could be executed by
    a separate expert system
  • By monitoring we mean to monitor to what extent
    the behavior of the agent complies with the
    contract. (Judge perspective)

15
Granting of rights
  • The Supplier grants and the Distributor accepts
    the exclusive right to market and sell the
    Products in the Territory.
  • ?e (grant(e) ? speaker(e, Supplier) ? hearer(e,
    Distributor) ? (Kept(e) ?
  • ? ?e?e (market(e) ? agent(e, Distributor) ?
    not-successful(e) ? agent(e, Supplier) ?
    cause(e, not-successful(e))

16
Prolog implementation
  • Daskalopulu Sergot Computational Aspects of
    the FLBC Framework
  • Basic idea
  • ?e (promise(e) ? speaker(e, Party) ? hearer(e,
    TheOtherParty) ? (Kept(e) ? ?e (deliver(e) ?
    agent(e, Party) ? theme(e, Products) ? sake(e,
    e))
  • Promise(e).
  • Speaker(e, Party).
  • Hearer(e, TheOtherParty).
  • Kept(e) - Deliver(X), Agent(X, Party),
    Theme(X, Products),Sake(X, e).

17
Prolog implementation
  • ?e (grant(e) ? speaker(e, Supplier) ? hearer(e,
    Distributor) ? (Kept(e) ? ? ?e?e (market(e) ?
    agent(e, Distributor) ? not-successful(e) ?
    agent(e, Supplier) ?
  • cause(e, not-successful(e))
  • Grant(e).
  • Speaker(e,Supplier).
  • Hearer(e, Distributor).
  • Kept(e) - not Failure(X).
  • Kept(e) - not Cause_Failure(X,Supplier).
  • Failure(X, market) - Market(X), Agent(X,
    Distributor), Not_Successful(X).

18
Conclusions
  • Kimbroughs Event Semantics suitable for modeling
    contracts
  • But improvements were needed for complex
    contracts
  • Implementation of Event Semantics in Prolog is
    possible.
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